Text Generation
Transformers
Safetensors
Japanese
English
qwen2
japanese
chat
sft
causal-lm
conversational
reasoning
fable
text-generation-inference
Instructions to use summerMC/matutake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summerMC/matutake with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="summerMC/matutake") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("summerMC/matutake") model = AutoModelForCausalLM.from_pretrained("summerMC/matutake") 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 summerMC/matutake with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "summerMC/matutake" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "summerMC/matutake", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/summerMC/matutake
- SGLang
How to use summerMC/matutake 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 "summerMC/matutake" \ --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": "summerMC/matutake", "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 "summerMC/matutake" \ --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": "summerMC/matutake", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use summerMC/matutake with Docker Model Runner:
docker model run hf.co/summerMC/matutake
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- chat_template.jinja +54 -0
- config.json +61 -0
- generation_config.json +9 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +30 -0
- trainer_state.json +124 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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chat_template.jinja
ADDED
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@@ -0,0 +1,54 @@
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| 1 |
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{%- if tools %}
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| 2 |
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{{- '<|im_start|>system\n' }}
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| 3 |
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{%- if messages[0]['role'] == 'system' %}
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| 4 |
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{{- messages[0]['content'] }}
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| 5 |
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{%- else %}
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| 6 |
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{{- 'あなたは、Summer AIが開発したSakuraです。小型ながら、誠実で優秀なアシスタントです。' }}
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| 7 |
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{%- endif %}
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| 8 |
+
{{- "\n\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>" }}
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| 9 |
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{%- for tool in tools %}
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{{- "\n" }}
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| 11 |
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{{- tool | tojson }}
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| 12 |
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{%- endfor %}
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| 13 |
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{{- "\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" }}
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| 14 |
+
{%- else %}
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| 15 |
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{%- if messages[0]['role'] == 'system' %}
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| 16 |
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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| 17 |
+
{%- else %}
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| 18 |
+
{{- '<|im_start|>system\nあなたは、Summer AIが開発したSakuraです。小型ながら、誠実で優秀なアシスタントです。<|im_end|>\n' }}
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| 19 |
+
{%- endif %}
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| 20 |
+
{%- endif %}
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| 21 |
+
{%- for message in messages %}
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| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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| 24 |
+
{%- elif message.role == "assistant" %}
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| 25 |
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{{- '<|im_start|>' + message.role }}
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| 26 |
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{%- if message.content %}
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| 27 |
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{{- '\n' + message.content }}
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| 28 |
+
{%- endif %}
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| 29 |
+
{%- for tool_call in message.tool_calls %}
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| 30 |
+
{%- if tool_call.function is defined %}
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| 31 |
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{%- set tool_call = tool_call.function %}
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| 32 |
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{%- endif %}
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| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
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| 34 |
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{{- tool_call.name }}
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| 35 |
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{{- '", "arguments": ' }}
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| 36 |
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{{- tool_call.arguments | tojson }}
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| 37 |
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{{- '}\n</tool_call>' }}
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| 38 |
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{%- endfor %}
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| 39 |
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{{- '<|im_end|>\n' }}
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| 40 |
+
{%- elif message.role == "tool" %}
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| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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| 42 |
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{{- '<|im_start|>user' }}
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| 43 |
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{%- endif %}
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| 44 |
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{{- '\n<tool_response>\n' }}
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| 45 |
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{{- message.content }}
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| 46 |
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{{- '\n</tool_response>' }}
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| 47 |
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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| 48 |
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{{- '<|im_end|>\n' }}
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| 49 |
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{%- endif %}
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| 50 |
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{%- endif %}
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| 51 |
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{%- endfor %}
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| 52 |
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{%- if add_generation_prompt %}
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| 53 |
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{{- '<|im_start|>assistant\n' }}
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| 54 |
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{%- endif %}
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config.json
ADDED
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@@ -0,0 +1,61 @@
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{
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| 2 |
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"architectures": [
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| 3 |
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"Qwen2ForCausalLM"
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| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": null,
|
| 7 |
+
"dtype": "bfloat16",
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 1536,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 8960,
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| 13 |
+
"layer_types": [
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| 14 |
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"full_attention",
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| 15 |
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"full_attention",
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| 16 |
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"full_attention",
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| 17 |
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"full_attention",
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| 18 |
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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| 22 |
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"full_attention",
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"full_attention",
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| 24 |
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"full_attention",
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"full_attention",
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"full_attention",
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| 27 |
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"full_attention",
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"full_attention",
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| 29 |
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"full_attention",
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"full_attention",
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| 31 |
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"full_attention",
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| 32 |
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"full_attention",
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| 33 |
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"full_attention",
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| 34 |
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"full_attention",
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| 35 |
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"full_attention",
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| 36 |
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"full_attention",
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| 37 |
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"full_attention",
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| 38 |
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"full_attention",
|
| 39 |
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"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention"
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| 42 |
+
],
|
| 43 |
+
"max_position_embeddings": 32768,
|
| 44 |
+
"max_window_layers": 21,
|
| 45 |
+
"model_type": "qwen2",
|
| 46 |
+
"num_attention_heads": 12,
|
| 47 |
+
"num_hidden_layers": 28,
|
| 48 |
+
"num_key_value_heads": 2,
|
| 49 |
+
"pad_token_id": 151643,
|
| 50 |
+
"rms_norm_eps": 1e-06,
|
| 51 |
+
"rope_parameters": {
|
| 52 |
+
"rope_theta": 1000000.0,
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| 53 |
+
"rope_type": "default"
|
| 54 |
+
},
|
| 55 |
+
"sliding_window": null,
|
| 56 |
+
"tie_word_embeddings": false,
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| 57 |
+
"transformers_version": "5.12.0",
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| 58 |
+
"use_cache": false,
|
| 59 |
+
"use_sliding_window": false,
|
| 60 |
+
"vocab_size": 151665
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| 61 |
+
}
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generation_config.json
ADDED
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@@ -0,0 +1,9 @@
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{
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| 2 |
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"_from_model_config": true,
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| 3 |
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"eos_token_id": [
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| 4 |
+
151645
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| 5 |
+
],
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| 6 |
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"pad_token_id": 151643,
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| 7 |
+
"transformers_version": "5.12.0",
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| 8 |
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"use_cache": true
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| 9 |
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}
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model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7175b36525c9067d2892388ac4785d4197057d634dcfcf2e29ccdaa87223e9e5
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| 3 |
+
size 3552549728
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optimizer.pt
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:401d9b863f63ad990876a15e8a2d6479a4440a9426902056b63c17a16bbece7a
|
| 3 |
+
size 7105319372
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rng_state.pth
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:61c19bab1174704a4a4441475683bf1270277af15d2e2c95e964789128e482c4
|
| 3 |
+
size 14645
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scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac08bec92a4d36e0429c02d96598c370f748ac8366bfc29c7287da66814c605d
|
| 3 |
+
size 1465
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tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
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tokenizer_config.json
ADDED
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@@ -0,0 +1,30 @@
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{
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| 2 |
+
"add_prefix_space": false,
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| 3 |
+
"backend": "tokenizers",
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| 4 |
+
"bos_token": null,
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| 5 |
+
"clean_up_tokenization_spaces": false,
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| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
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| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
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| 10 |
+
"<|im_end|>",
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| 11 |
+
"<|object_ref_start|>",
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| 12 |
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"<|object_ref_end|>",
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| 13 |
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"<|box_start|>",
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| 14 |
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"<|box_end|>",
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| 15 |
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"<|quad_start|>",
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| 16 |
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"<|quad_end|>",
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| 17 |
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"<|vision_start|>",
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| 18 |
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"<|vision_end|>",
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| 19 |
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"<|vision_pad|>",
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| 20 |
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"<|image_pad|>",
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| 21 |
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"<|video_pad|>"
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| 22 |
+
],
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| 23 |
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"is_local": false,
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| 24 |
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"local_files_only": false,
|
| 25 |
+
"model_max_length": 131072,
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| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null
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| 30 |
+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,124 @@
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training_args.bin
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@@ -0,0 +1,3 @@
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