Add files using upload-large-folder tool

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text

COMPLETE.json

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+{
+  "complete": true,
+  "run_id": "01d49418607dc011adb901641ea2ab67ef47697e6c2141ef767896f4a9cd2fb9",
+  "completed_utc": "2026-10-04T06:06:40.192672+00:00",
+  "parts": 12000,
+  "documents": 48965906,
+  "chunks": 90458594,
+  "model_tokens": 32722333502,
+  "input_tokens": 33065204471,
+  "empty_documents": 0,
+  "long_documents": 10047,
+  "embedding_bytes": 370519937024,
+  "retokenized_documents": 35993,
+  "output_dimension": 2048,
+  "output_dtype": "float16",
+  "chunk_size": 512,
+  "chunk_overlap": 0,
+  "max_fp16_norm_error": 0.00024330615997314453,
+  "checks": [
+    "full source row and stable document ID coverage",
+    "every chunk offset and context window",
+    "all file SHA256 checksums",
+    "every vector finite and unit norm within fp16 tolerance",
+    "independent retokenization of boundary and longest rows in every part"
+  ]
+}

README.md

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+# ClimbMix small embeddings
+
+**48,965,906 documents · 90,458,594 chunk vectors · 12,000 parts · approximately 418.9 GB.**
+
+`voyage-context-4`; 512 model-token chunks, zero overlap, 2,048 dimensions, normalized float16 vectors. All document text and final partial chunks retained. Full checksum, coverage, mapping and vector audit passed; see [COMPLETE.json](COMPLETE.json).
+
+## Contents
+
+- `documents/shard_NNN/part_NNNNN.parquet`: text, stable `doc_id`, source shard/row.
+- `embeddings/shard_NNN/part_NNNNN/embeddings.npy`: `(chunks, 2048)` array.
+- Adjacent `chunks.parquet`: `doc_id`, chunk index, embedding row, token/context offsets.
+- Adjacent `document_index.parquet`: each document's embedding start/count and token count.
+- `tokenizer/`: exact model tokenizer; model weights are not included.
+- [metadata.json](metadata.json): provenance and settings. [PARTS.jsonl](PARTS.jsonl): portable paths, counts, sizes and hashes. `SHA256SUMS`: file checksums.
+
+Vector row numbers are local to each part. Token offsets are zero-based, end-exclusive model-token offsets in the original document, excluding the retrieval prefix. Context covers at most 63 chunks per window; long documents continue in subsequent windows. Context does not cross window boundaries.
+
+## Read
+
+Requires NumPy and PyArrow. From this folder:
+
+```bash
+python load_example.py
+```
+
+The example memory-maps the vectors and shows how document rows map to them.
+
+Local data files are hard-linked to the originals; treat them as read-only.

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load_example.py

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+"""Read one document and its chunk vectors; no model/GPU required."""
+import argparse
+from pathlib import Path
+
+import numpy as np
+import pyarrow.parquet as pq
+
+parser = argparse.ArgumentParser(description=__doc__)
+parser.add_argument('--unit', default='shard_000/part_00000')
+parser.add_argument('--document-row', type=int, default=0)
+args = parser.parse_args()
+root = Path(__file__).resolve().parent
+part = root / 'embeddings' / args.unit
+index = pq.read_table(part / 'document_index.parquet')
+if not 0 <= args.document_row < index.num_rows:
+    parser.error('--document-row is outside this part')
+row = index.slice(args.document_row, 1).to_pylist()[0]
+vectors = np.load(part / 'embeddings.npy', mmap_mode='r', allow_pickle=False)
+start = row['embedding_start']
+doc_vectors = vectors[start:start + row['embedding_count']]
+document = pq.read_table(root / 'documents' / (args.unit + '.parquet'),
+                         filters=[('doc_id', '=', row['doc_id'])]).to_pylist()[0]
+chunks = pq.read_table(part / 'chunks.parquet',
+                      filters=[('doc_id', '=', row['doc_id'])])
+print(row)
+print('Document vectors:', doc_vectors.shape, doc_vectors.dtype)
+print('Text preview:', document['text'][:160])
+print('First chunk:', chunks.slice(0, 1).to_pylist())

metadata.json

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+{
+  "format_version": 1,
+  "name": "ClimbMix small context-4 chunk embeddings",
+  "run_id": "01d49418607dc011adb901641ea2ab67ef47697e6c2141ef767896f4a9cd2fb9",
+  "completed_utc": "2026-10-04T06:06:40.192672+00:00",
+  "dataset": {
+    "repository": "nvidia/Nemotron-ClimbMix",
+    "url": "https://huggingface.co/datasets/nvidia/Nemotron-ClimbMix",
+    "revision": "5eaa64b9c0c85b7f56af01d7dffdb0795816b12b",
+    "subset": "climbmix_small",
+    "text_decoding": "tiktoken GPT-2 decode, errors=replace; no cleaning or truncation",
+    "document_id": "ncm_small_{source_shard:03d}_{source_row:09d}"
+  },
+  "model": {
+    "name": "voyage-context-4",
+    "checkpoint_sha256": "8c63985d03df7039dd63feb7783c793ada2895358145ea3c3ede42837d1a089a",
+    "checkpoint_weights_included": false,
+    "tokenizer_directory": "tokenizer"
+  },
+  "encoding": {
+    "chunk_size_model_tokens": 512,
+    "chunk_overlap": 0,
+    "dimension": 2048,
+    "storage_dtype": "float16",
+    "compute_dtype": "bfloat16",
+    "attention": "bidirectional within each document window",
+    "pooling": "float32 mean of projected token states per chunk, then L2 normalize",
+    "document_prefix": "Represent the document for retrieval: ",
+    "prefix_tokens": 7,
+    "prefix_excluded_from_pooling": true,
+    "max_context_tokens": 32768,
+    "max_content_tokens_per_window": 32256,
+    "max_chunks_per_window": 63,
+    "long_documents": "All text retained in consecutive windows; no context across window boundaries.",
+    "token_offsets": "Zero-based, half-open [start,end) in full document model tokens, excluding prefix.",
+    "embedding_row_offsets": "Zero-based and local to each part array."
+  },
+  "counts": {
+    "documents": 48965906,
+    "chunks": 90458594,
+    "parts": 12000,
+    "model_tokens": 32722333502,
+    "long_documents": 10047
+  },
+  "data_files": 48000,
+  "data_bytes": 418878186322,
+  "audit": {
+    "passed": true,
+    "summary": "COMPLETE.json",
+    "retokenized_documents": 35993,
+    "max_fp16_norm_error": 0.00024330615997314453,
+    "note": "BF16 MoE outputs may differ slightly across batch sizes."
+  }
+}

tokenizer/config.json

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+{
+    "architectures": [
+        "Qwen3MoeForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "decoder_sparse_step": 1,
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2048,
+    "initializer_range": 0.02,
+    "intermediate_size": 6144,
+    "max_position_embeddings": 40960,
+    "max_window_layers": 48,
+    "mlp_only_layers": [],
+    "model_type": "qwen3_moe",
+    "moe_intermediate_size": 768,
+    "norm_topk_prob": true,
+    "num_attention_heads": 32,
+    "num_experts": 128,
+    "num_experts_per_tok": 8,
+    "num_hidden_layers": 48,
+    "num_key_value_heads": 4,
+    "output_router_logits": false,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": null,
+    "rope_theta": 1000000.0,
+    "router_aux_loss_coef": 0.001,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.51.0",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "num_labels": 2048,
+    "vocab_size": 151936
+}

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+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}