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mikecovlee
/
tinymistral-477m

Text Generation
Transformers
PyTorch
English
tinymixtral
tinymistral
dense
small-language-model
pretrained
custom_code
conversational
Model card Files Files and versions
xet
Community

Instructions to use mikecovlee/tinymistral-477m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mikecovlee/tinymistral-477m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="mikecovlee/tinymistral-477m", trust_remote_code=True)
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("mikecovlee/tinymistral-477m", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use mikecovlee/tinymistral-477m with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "mikecovlee/tinymistral-477m"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "mikecovlee/tinymistral-477m",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/mikecovlee/tinymistral-477m
  • SGLang

    How to use mikecovlee/tinymistral-477m 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 "mikecovlee/tinymistral-477m" \
        --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": "mikecovlee/tinymistral-477m",
    		"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 "mikecovlee/tinymistral-477m" \
            --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": "mikecovlee/tinymistral-477m",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
  • Docker Model Runner

    How to use mikecovlee/tinymistral-477m with Docker Model Runner:

    docker model run hf.co/mikecovlee/tinymistral-477m
tinymistral-477m
1.91 GB
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  • 1 contributor
History: 2 commits
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mikecovlee
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  • .gitattributes
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  • LICENSE
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  • README.md
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  • chat_template.jinja
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  • config.json
    844 Bytes
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  • configuration_tinymixtral.py
    1.91 kB
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  • generation_config.json
    73 Bytes
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  • modeling_tinymixtral.py
    15.4 kB
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  • pytorch_model.bin
    1.91 GB
    xet
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  • special_tokens_map.json
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  • tokenizer.json
    3.62 MB
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  • tokenizer.model
    500 kB
    xet
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  • tokenizer_config.json
    994 Bytes
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