Instructions to use TroyDoesAI/BlackSheep-RP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TroyDoesAI/BlackSheep-RP with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="TroyDoesAI/BlackSheep-RP")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TroyDoesAI/BlackSheep-RP")
model = AutoModelForCausalLM.from_pretrained("TroyDoesAI/BlackSheep-RP", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TroyDoesAI/BlackSheep-RP with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TroyDoesAI/BlackSheep-RP"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TroyDoesAI/BlackSheep-RP",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/TroyDoesAI/BlackSheep-RP

SGLang

How to use TroyDoesAI/BlackSheep-RP with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "TroyDoesAI/BlackSheep-RP" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TroyDoesAI/BlackSheep-RP",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "TroyDoesAI/BlackSheep-RP" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TroyDoesAI/BlackSheep-RP",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use TroyDoesAI/BlackSheep-RP with Docker Model Runner:
```
docker model run hf.co/TroyDoesAI/BlackSheep-RP
```

TroyDoesAI commited on Jul 19, 2024

Commit

397897f

verified ·

1 Parent(s): 4b6ddb3

New blend, then trained on top with my blacksheep dataset

Browse files

Files changed (6) hide show

README.md +48 -8
config.json +1 -1
mergekit_config.yml +1 -1
model-00001-of-00003.safetensors +1 -1
model-00002-of-00003.safetensors +1 -1
model-00003-of-00003.safetensors +1 -1

README.md CHANGED Viewed

@@ -1,8 +1,48 @@
----
-license: apache-2.0
----
-Please Dont Download This Yet, It has only seen 1 Epoch of my experimental Dataset
-- This is not ready for use yet for RP, context length is only 8k currently.
-I am fine tuning on a 32k context length dataset so it will take me a couple days before its ready to be used.

+---
+base_model:
+- mlabonne/NeuralDaredevil-7B
+- fhai50032/RolePlayLake-7B
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+# BlackSheep-RP
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+## Merge Details
+### Merge Method
+This model was merged using the SLERP merge method.
+### Models Merged
+The following models were included in the merge:
+* [mlabonne/NeuralDaredevil-7B](https://huggingface.co/mlabonne/NeuralDaredevil-7B)
+* [fhai50032/RolePlayLake-7B](https://huggingface.co/fhai50032/RolePlayLake-7B)
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+slices:
+  - sources:
+      - model: mlabonne/NeuralDaredevil-7B
+        layer_range: [0, 32]
+      - model: fhai50032/RolePlayLake-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: mlabonne/NeuralDaredevil-7B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "mlabonne/NeuralDaredevil-7B",
   "architectures": [
     "MistralForCausalLM"
   ],

 {
+  "_name_or_path": "BlackSheep-RP",
   "architectures": [
     "MistralForCausalLM"
   ],

mergekit_config.yml CHANGED Viewed

@@ -2,7 +2,7 @@ slices:
   - sources:
       - model: mlabonne/NeuralDaredevil-7B
         layer_range: [0, 32]
-      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
         layer_range: [0, 32]
 merge_method: slerp
 base_model: mlabonne/NeuralDaredevil-7B

   - sources:
       - model: mlabonne/NeuralDaredevil-7B
         layer_range: [0, 32]
+      - model: fhai50032/RolePlayLake-7B
         layer_range: [0, 32]
 merge_method: slerp
 base_model: mlabonne/NeuralDaredevil-7B

model-00001-of-00003.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf0f1ffd685c36842849ae7fa27c8e4d9bc4d4095ec3dcab3a6790525ff93d6f
 size 4886547008

 version https://git-lfs.github.com/spec/v1
+oid sha256:bd3a55614bf5acdfe42c903599e5885fe70c1535943c5b417c09237be29d0581
 size 4886547008

model-00002-of-00003.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b5188777153ac6b930f738c15ad166b2fe3bd2adb2709bf10bb3852b74fc83e
 size 4915916176

 version https://git-lfs.github.com/spec/v1
+oid sha256:dcc4dfc50f888b2cdb184f72d99fe4b8493248d6745caf020cc5f03d3c09204e
 size 4915916176

model-00003-of-00003.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b75c0a61e826ed3a389572c8f3c86ae24d43bd5dfd1e5148a8f65e624bf31e6a
 size 4681034848

 version https://git-lfs.github.com/spec/v1
+oid sha256:9ad941b6ef97df0f20367f3f2b69b64657b093e72cfe77ff9de1e4cc4564c567
 size 4681034848