AppleScript tool-calling model (JANG_4M, 4-bit experts, run_applescript)

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,84 @@
+---
+license: other
+license_name: zyphra-zaya
+language:
+- en
+library_name: mlx
+tags:
+- applescript
+- macos
+- computer-use
+- agent
+- tool-calling
+- function-calling
+- mlx
+- moe
+- osaurus
+base_model: Zyphra/ZAYA1-8B
+pipeline_tag: text-generation
+---
+
+![Osaurus](./osaurus-x-banner.png)
+
+# AppleScript-8B-JANG_4M
+
+**A fast, small tool-calling model for macOS AppleScript & agentic computer-use.** Given a `run_applescript`
+tool, it emits a structured **tool call** with correct AppleScript to drive macOS — app automation
+(Safari, Finder, Mail, Notes, Calendar, System Events), system control, clipboard, screenshots, and
+`do shell script` — ready to execute in an agent loop. Without a tools spec, it writes AppleScript
+directly (hybrid).
+
+Built by **[Osaurus](https://osaurus.ai)**. Base: **Zyphra/ZAYA1-8B** (MoE). Quantized to **JANG_4M**
+(8-bit attention, 4-bit routed experts) for fast on-device inference via
+[MLX](https://github.com/ml-explore/mlx).
+
+| | |
+|---|---|
+| Parameters | 8.84 B (MoE) |
+| Quant | JANG_4M — 8-bit attention, **4-bit routed experts** |
+| Size | ~5.6 GB |
+| Tool-calling | native (`<zyphra_tool_call>`), `run_applescript` |
+| Runtime | MLX (Apple Silicon) / Osaurus |
+
+## Benchmark — base vs final (held-out executable AppleScript bench, 87 tasks)
+
+*Tool-call emission* = emits a valid `run_applescript` call. *Compile* = the script is valid
+AppleScript. *Exec* = it runs and returns the correct result (hardest pure-computational subset).
+
+| | Tool-call emission | Compile | Exec |
+|---|---|---|---|
+| Base (Zyphra/ZAYA1-8B) | ✗ (writes raw, no tool calls) | 28.9% | 30.0% |
+| **AppleScript-8B-JANG_4M** | **100%** ⭐ | **93.4%** ⭐ | **70.8%** ⭐ |
+
+The fine-tune teaches reliable structured tool-calling **and** valid AppleScript (base does neither
+well). Exec is scored on the hardest computational subset; typical app-automation tool-calls land at
+the ~93% compile tier.
+
+## Usage (MLX, tool-calling)
+
+```python
+from mlx_lm import load, generate
+model, tok = load("OsaurusAI/AppleScript-8B-JANG_4M")
+tools = [{"type":"function","function":{"name":"run_applescript",
+  "description":"Execute AppleScript on macOS and return its output.",
+  "parameters":{"type":"object","properties":{"script":{"type":"string"}},"required":["script"]}}}]
+msgs = [{"role":"user","content":"Get the URL of the front Safari tab."}]
+prompt = tok.apply_chat_template(msgs, tools=tools, add_generation_prompt=True, tokenize=False)
+print(generate(model, tok, prompt=prompt, max_tokens=300))
+# -> <zyphra_tool_call><function=run_applescript><parameter=script> ... </parameter>...
+```
+
+Your agent parses the `run_applescript` tool call, runs the script (e.g. via `osascript`), and feeds
+the result back. (Omit `tools=` to get raw AppleScript instead.)
+
+## Tiers
+
+For higher accuracy use **`OsaurusAI/AppleScript-16B-A4B-JANG_4M`** (100% compile / 84% exec). This 8B
+is the fast/small tier for low-latency on-device automation.
+
+## License
+
+Inherits the **Zyphra/ZAYA1-8B** license — review and comply with the base model's terms.
+
+---
+Made by Osaurus · contact **eric@osaurus.ai**

chat_template.jinja

@@ -0,0 +1,205 @@
+{% macro render_extra_keys(json_dict, handled_keys) %}
+    {%- if json_dict is mapping %}
+        {%- for json_key in json_dict if json_key not in handled_keys %}
+            {%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}
+                {{- '\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}
+            {%- else %}
+                {{-'\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
+            {%- endif %}
+        {%- endfor %}
+    {%- endif %}
+{% endmacro %}
+{%- set enable_thinking = enable_thinking if enable_thinking is defined else True %}
+{# TODO: set truncate to true for deployment & agent evals. Keep on for SFT. #}
+{%- set truncate_history_thinking = truncate_history_thinking if truncate_history_thinking is defined else False %}
+{{- bos_token }}
+{%- set ns = namespace(last_user_idx = -1) %}
+{%- set loop_messages = messages %}
+{%- for m in loop_messages %}
+  {%- if m["role"] == "user" %}
+    {%- set ns.last_user_idx = loop.index0 %}
+  {%- endif %}
+{%- endfor %}
+
+{%- if messages[0]["role"] == "system" %}
+    {%- set system_message = messages[0]["content"] %}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = [] %}
+{%- endif %}
+{# Recompute last_user_idx relative to loop_messages after handling system #}
+{%- set ns = namespace(last_user_idx = -1) %}
+{%- for m in loop_messages %}
+  {%- if m["role"] == "user" %}
+    {%- set ns.last_user_idx = loop.index0 %}
+  {%- endif %}
+{%- endfor %}
+{%- if system_message is defined %}
+    {{- "<|im_start|>system\n" + system_message }}
+{%- else %}
+    {%- if tools is iterable and tools | length > 0 %}
+        {{- "<|im_start|>system\n" }}
+    {%- endif %}
+{%- endif %}
+{%- if tools is iterable and tools | length > 0 %}
+    {%- if system_message is defined and system_message | length > 0 %}
+        {{- "\n\n" }}
+    {%- endif %}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n" }}
+    {{- "<tools>" }}
+    {%- for tool in tools %}
+        {%- if tool.function is defined %}
+            {%- set tool = tool.function %}
+        {%- endif %}
+        {{- "\n<function>\n<name>" ~ tool.name ~ "</name>" }}
+        {%- if tool.description is defined %}
+            {{- '\n<description>' ~ (tool.description | trim) ~ '</description>' }}
+        {%- endif %}
+        {{- '\n<parameters>' }}
+        {%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
+            {%- for param_name, param_fields in tool.parameters.properties|items %}
+                {{- '\n<parameter>' }}
+                {{- '\n<name>' ~ param_name ~ '</name>' }}
+                {%- if param_fields.type is defined %}
+                    {{- '\n<type>' ~ (param_fields.type | string) ~ '</type>' }}
+                {%- endif %}
+                {%- if param_fields.description is defined %}
+                    {{- '\n<description>' ~ (param_fields.description | trim) ~ '</description>' }}
+                {%- endif %}
+                {%- if param_fields.enum is defined %}
+                    {{- '\n<enum>' ~ (param_fields.enum | tojson | safe) ~ '</enum>' }}
+                {%- endif %}
+                {%- set handled_keys = ['name', 'type', 'description', 'enum'] %}
+                {{- render_extra_keys(param_fields, handled_keys) }}
+                {{- '\n</parameter>' }}
+            {%- endfor %}
+        {%- endif %}
+        {% set handled_keys = ['type', 'properties', 'required'] %}
+        {{- render_extra_keys(tool.parameters, handled_keys) }}
+        {%- if tool.parameters is defined and tool.parameters.required is defined %}
+            {{- '\n<required>' ~ (tool.parameters.required | tojson | safe) ~ '</required>' }}
+        {%- endif %}
+        {{- '\n</parameters>' }}
+        {%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
+        {{- render_extra_keys(tool, handled_keys) }}
+        {{- '\n</function>' }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<zyphra_tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</zyphra_tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <zyphra_tool_call></zyphra_tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+{%- endif %}
+
+
+{%- if system_message is defined %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if tools is iterable and tools | length > 0 %}
+        {{- '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+
+{%- for message in loop_messages %}
+    {%- if message.role == "assistant" %}
+        {# Add reasoning content in to content field for unified processing below. #}
+        {%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %}
+            {%- set content = "<think>\n" ~ message.reasoning_content ~ "\n</think>\n\n" ~ (message.content | default('', true)) %}
+        {%- else %}
+            {%- set content = message.content | default('', true) %}
+            {%- if content is string -%}
+                {# Allow downstream logic to to take care of broken thought, only handle coherent reasoning here. #}
+                {%- if '<think>' not in content and '</think>' not in content -%}
+                    {%- set content = "<think>\n</think>\n\n" ~ content -%}
+                {%- endif -%}
+            {%- else -%}
+                {%- set content = content -%}
+            {%- endif -%}
+        {%- endif %}
+        {%- if message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
+            {# Assistant message has tool calls. #}
+            {{- '<|im_start|>assistant\n' }}
+                {%- set include_content = not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
+                {%- if content is string and content | trim | length > 0 %}
+                    {%- if include_content %}
+                        {{- (content | trim) ~ '\n\n' -}}
+                    {%- else %}
+                        {%- set c = (content | string) %}
+                        {%- if '</think>' in c %}
+                            {# Keep only content after the last closing think. Also generation prompt causes this. #}
+                            {%- set c = c.split('</think>')[-1] %}
+                        {%- elif '<think>' in c %}
+                            {# If <think> was opened but never closed, drop the trailing think segment #}
+                            {%- set c = c.split('<think>')[0] %}
+                        {%- endif %}
+                        {%- set c = "<think>\n</think>\n\n" ~ c | trim %}
+                        {%- if c | length > 0 %}
+                            {{- c ~ '\n' -}}
+                        {%- endif %}
+                    {%- endif %}
+                {%- else %}
+                    {{- "<think>\n</think>\n\n" -}}
+                {%- endif %}
+                {%- for tool_call in message.tool_calls %}
+                    {%- if tool_call.function is defined %}
+                        {%- set tool_call = tool_call.function %}
+                    {%- endif %}
+                    {{- '<zyphra_tool_call>\n<function=' ~ tool_call.name ~ '>\n' -}}
+                        {%- if tool_call.arguments is defined %}
+                            {%- for args_name, args_value in tool_call.arguments|items %}
+                                {{- '<parameter=' ~ args_name ~ '>\n' -}}
+                                    {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                                {{- args_value ~ '\n</parameter>\n' -}}
+                            {%- endfor %}
+                        {%- endif %}
+                    {{- '</function>\n</zyphra_tool_call>\n' -}}
+                {%- endfor %}
+                {{- '<|im_end|>\n' }}
+        {%- else %}
+            {# Assistant message doesn't have tool calls. #}
+            {%- if not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
+                {{- '<|im_start|>assistant\n' ~ (content | default('', true) | string | trim) ~ '<|im_end|>\n' }}
+            {%- else %}
+                {%- set c = (content | default('', true) | string) %}
+                {%- if '<think>' in c and '</think>' in c %}
+                    {%- set c = "<think>\n</think>\n\n" ~ (c.split('</think>')[-1] | trim) %}
+                {%- endif %}
+                {%- set c = c | trim %}
+                {%- if c | length > 0 %}
+                    {{- '<|im_start|>assistant\n' ~ c ~ '<|im_end|>\n' }}
+                {%- else %}
+                    {{- '<|im_start|>assistant\n<|im_end|>\n' }}
+                {%- endif %}
+            {%- endif %}
+        {%- endif %}
+    {%- elif message.role == "user" or message.role == "system" %}
+        {{- '<|im_start|>' + message.role + '\n' }}
+        {%- set content = message.content | string %}
+        {{- content }}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user\n' }}
+        {%- endif %}
+        {{- '<zyphra_tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</zyphra_tool_response>\n' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endfor %}
+
+{%- if add_generation_prompt %}
+    {%- if enable_thinking %}
+        {{- '<|im_start|>assistant\n<think>\n' }}
+    {%- else %}
+        {{- '<|im_start|>assistant\n<think>\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

config.json

@@ -0,0 +1,1672 @@
+{
+  "activation_func": "swiglu",
+  "activation_func_fp8_input_store": false,
+  "add_bias_linear": false,
+  "architectures": [
+    "ZayaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bias_activation_fusion": true,
+  "bos_token_id": 2,
+  "cca": true,
+  "dtype": "bfloat16",
+  "eos_token_id": 106,
+  "ffn_hidden_size": 4096,
+  "gated_linear_unit": true,
+  "hidden_size": 2048,
+  "head_dim": 128,
+  "kv_channels": 128,
+  "lm_head_bias": false,
+  "mamba_cache_dtype": "float32",
+  "max_position_embeddings": 131072,
+  "model_type": "zaya",
+  "moe_router_topk": 1,
+  "norm_epsilon": 1e-05,
+  "normalization": "RMSNorm",
+  "num_attention_heads": 8,
+  "num_experts": 16,
+  "num_hidden_layers": 80,
+  "num_key_value_heads": 2,
+  "num_query_groups": 2,
+  "pad_token_id": 0,
+  "partial_rotary_factor": 0.5,
+  "residual_in_fp32": true,
+  "rope_scaling": false,
+  "rope_theta": 5000000,
+  "scale_residual_merge": true,
+  "sliding_window": null,
+  "transformers_version": "4.57.1",
+  "use_cache": true,
+  "vocab_size": 262272,
+  "zaya_mlp_expansion": 256,
+  "zaya_use_eda": true,
+  "zaya_use_mod": true,
+  "weight_format": "jang",
+  "zaya_expert_layout": "split_switch_mlp",
+  "tie_word_embeddings": true,
+  "quantization": {
+    "bits": 8,
+    "group_size": 32,
+    "mode": "affine",
+    "embed_bits": 8,
+    "expert_bits": 4,
+    "router_bits": 16,
+    "expert_layout": "split_switch_mlp",
+    "model.embed_tokens": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.0.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.0.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.0.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.0.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.0.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.10.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.10.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.10.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.10.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.10.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.12.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.12.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.12.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.12.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.12.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.14.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.14.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.14.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.14.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.14.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.16.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.16.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.16.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.16.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.16.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.18.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.18.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.18.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.18.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.18.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.2.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.2.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.2.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.2.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.2.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.4.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.4.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.4.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.4.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.4.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.6.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.6.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.6.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.6.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.6.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.8.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.8.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.8.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.8.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.8.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.20.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.20.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.20.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.20.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.20.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.22.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.22.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.22.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.22.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.22.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.24.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.24.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.24.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.24.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.24.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.26.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.26.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.26.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.26.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.26.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.28.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.28.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.28.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.28.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.28.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.30.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.30.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.30.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.30.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.30.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.32.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.32.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.32.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.32.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.32.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.34.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.34.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.34.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.34.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.34.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.36.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.36.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.36.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.36.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.36.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.38.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.38.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.38.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.38.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.38.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.40.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.40.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.40.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.40.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.40.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.42.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.42.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.42.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.42.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.42.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.44.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.44.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.44.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.44.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.44.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.46.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.46.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.46.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.46.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.46.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.48.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.48.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.48.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.48.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.48.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.50.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.50.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.50.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.50.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.50.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.52.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.52.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.52.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.52.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.52.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.54.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.54.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.54.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.54.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.54.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.56.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.56.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.56.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.56.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.56.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.58.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.58.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.58.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.58.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.58.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.60.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.60.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.60.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.60.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.60.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.62.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.62.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.62.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.62.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.62.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.64.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.64.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.64.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.64.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.64.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.66.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.66.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.66.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.66.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.66.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.68.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.68.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.68.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.68.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.68.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.70.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.70.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.70.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.70.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.70.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.72.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.72.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.72.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.72.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.72.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.74.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.74.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.74.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.74.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.74.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.76.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.76.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.76.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.76.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.76.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.78.self_attn.o_proj": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.78.self_attn.qkv.linear_k": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.78.self_attn.qkv.linear_q": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.78.self_attn.qkv.val_proj1": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.78.self_attn.qkv.val_proj2": {
+      "bits": 8,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.1.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.1.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.1.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.3.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.3.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.3.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.5.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.5.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.5.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.7.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.7.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.7.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.9.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.9.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.9.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.11.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.11.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.11.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.13.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.13.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.13.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.15.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.15.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.15.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.17.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.17.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.17.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.19.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.19.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.19.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.21.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.21.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.21.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.23.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.23.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.23.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.25.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.25.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.25.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.27.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.27.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.27.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.29.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.29.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.29.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.31.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.31.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.31.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.33.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.33.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.33.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.35.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.35.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.35.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.37.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.37.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.37.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.39.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.39.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.39.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.41.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.41.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.41.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.43.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.43.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.43.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.45.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.45.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.45.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.47.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.47.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.47.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.49.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.49.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.49.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.51.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.51.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.51.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.53.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.53.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.53.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.55.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.55.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.55.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.57.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.57.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.57.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.59.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.59.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.59.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.61.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.61.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.61.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.63.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.63.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.63.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.65.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.65.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.65.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.67.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.67.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.67.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.69.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.69.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.69.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.71.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.71.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.71.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.73.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.73.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.73.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.75.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.75.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.75.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.77.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.77.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.77.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.79.zaya_block.experts.switch_mlp.gate_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.79.zaya_block.experts.switch_mlp.up_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    },
+    "model.layers.79.zaya_block.experts.switch_mlp.down_proj": {
+      "bits": 4,
+      "group_size": 32,
+      "mode": "affine"
+    }
+  },
+  "capabilities": {
+    "reasoning_parser": "qwen3",
+    "tool_parser": "zaya_xml",
+    "think_in_template": false,
+    "supports_tools": true,
+    "supports_thinking": true,
+    "family": "zaya",
+    "modality": "text",
+    "cache_type": "hybrid"
+  }
+}

generation_config.json

@@ -0,0 +1,10 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 106,
+  "pad_token_id": 0,
+  "temperature": 1.0,
+  "top_k": -1,
+  "top_p": 0.95,
+  "transformers_version": "4.57.1"
+}

jang_config.json

@@ -0,0 +1,29 @@
+{
+  "version": 2,
+  "weight_format": "jang",
+  "profile": "JANG_4M",
+  "cache_subtype": "zaya_cca",
+  "source_model": {
+    "name": "ZAYA1-8B",
+    "org": "Zyphra",
+    "architecture": "zaya"
+  },
+  "expert_layout": "split_switch_mlp",
+  "quantization": {
+    "method": "affine",
+    "group_size": 32,
+    "attn_bits": 8,
+    "expert_bits": 4,
+    "embed_bits": 8
+  },
+  "capabilities": {
+    "reasoning_parser": "qwen3",
+    "tool_parser": "zaya_xml",
+    "think_in_template": false,
+    "supports_tools": true,
+    "supports_thinking": true,
+    "family": "zaya",
+    "modality": "text",
+    "cache_type": "hybrid"
+  }
+}

model-00001-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:97c13f7bc78c153fc8c6333c25efa3d08dd1db4dc5edb45d40c9e8476d88715b
+size 1001239544

model-00002-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7155ab5b2373691b5b9bab9eac6d7dc72be0884e911ea3f7535b886f34ff2fb
+size 1002448464

model-00003-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7146af97198f1c96084d0d122b37162d5838617f12a86f5bef732c25562b3fe
+size 1006642944

model-00004-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70c9e1c9e74296b43c8d813108b04f9a51a96409bf066cd5ac850f4ef2d4f524
+size 1006642944

model-00005-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:323e445d37537bff0913e1a1e43eda1b9c35c1479ce92834e75809069392a80a
+size 1006642944

model-00006-of-00006.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd929a9bf2077b39a5833e412fbc0a6bc6b1e567bed072cd284459b3df084bc4
+size 931144920

special_tokens_map.json

@@ -0,0 +1,33 @@
+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29299fe0a5dfb9f41cacc71436a714a412e1163858fbf7085b84adbf9544133a
+size 33385481