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Banaxi-Tech
/
pico-80

Text Generation
Transformers
Safetensors
English
bananamind2_pico
causal-lm
base-model
muon
xsa-refresh
custom-code
trust-remote-code
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Banaxi-Tech/pico-80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Banaxi-Tech/pico-80 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Banaxi-Tech/pico-80", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("Banaxi-Tech/pico-80", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use Banaxi-Tech/pico-80 with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Banaxi-Tech/pico-80"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Banaxi-Tech/pico-80",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Banaxi-Tech/pico-80
  • SGLang

    How to use Banaxi-Tech/pico-80 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 "Banaxi-Tech/pico-80" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Banaxi-Tech/pico-80",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    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 "Banaxi-Tech/pico-80" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Banaxi-Tech/pico-80",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Banaxi-Tech/pico-80 with Docker Model Runner:

    docker model run hf.co/Banaxi-Tech/pico-80
pico-80
4.48 MB
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  • 1 contributor
History: 2 commits
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Banaxi-Tech
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  • .gitattributes
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  • README.md
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  • checkpoint_metadata.json
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  • config.json
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  • configuration_bananamind2pico.py
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  • generation_config.json
    127 Bytes
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  • model.safetensors
    3.76 MB
    xet
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  • modeling_bananamind2pico.py
    17.5 kB
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  • special_tokens_map.json
    107 Bytes
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  • tokenizer.json
    13.8 kB
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  • tokenizer_config.json
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  • tokenizer_training_manifest.json
    767 Bytes
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  • training_metrics.jsonl
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