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SecludedCorner
/
bind1-babylm2026-strict-small

Text Generation
Transformers
Safetensors
English
babylm
babylm-2026
strict-small
small-language-model
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use SecludedCorner/bind1-babylm2026-strict-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SecludedCorner/bind1-babylm2026-strict-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="SecludedCorner/bind1-babylm2026-strict-small", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("SecludedCorner/bind1-babylm2026-strict-small", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use SecludedCorner/bind1-babylm2026-strict-small with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "SecludedCorner/bind1-babylm2026-strict-small"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "SecludedCorner/bind1-babylm2026-strict-small",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/SecludedCorner/bind1-babylm2026-strict-small
  • SGLang

    How to use SecludedCorner/bind1-babylm2026-strict-small 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 "SecludedCorner/bind1-babylm2026-strict-small" \
        --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": "SecludedCorner/bind1-babylm2026-strict-small",
    		"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 "SecludedCorner/bind1-babylm2026-strict-small" \
            --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": "SecludedCorner/bind1-babylm2026-strict-small",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use SecludedCorner/bind1-babylm2026-strict-small with Docker Model Runner:

    docker model run hf.co/SecludedCorner/bind1-babylm2026-strict-small
bind1-babylm2026-strict-small
122 MB
Ctrl+K
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  • 1 contributor
History: 11 commits
SecludedCorner's picture
SecludedCorner
Model card: soften metric-revision note โ€” add leaderboard comparability context (standards may coexist on the board; resubmission required), gentler honesty-note phrasing
414f190 verified about 8 hours ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    16.4 kB
    Model card: soften metric-revision note โ€” add leaderboard comparability context (standards may coexist on the board; resubmission required), gentler honesty-note phrasing about 8 hours ago
  • audit_gate_bypass.py
    3.09 kB
    bypass audit script (reproduces the paper audit on any exported dir) 2 days ago
  • config.json
    526 Bytes
    entry model (bind1_tt3_s0 / physical loop2_full, seed 0, frozen 2026-07-05) 2 days ago
  • model.safetensors
    120 MB
    xet
    entry model (bind1_tt3_s0 / physical loop2_full, seed 0, frozen 2026-07-05) 2 days ago
  • modeling_babylm.py
    11.1 kB
    entry model (bind1_tt3_s0 / physical loop2_full, seed 0, frozen 2026-07-05) 2 days ago
  • tokenizer.json
    1.1 MB
    entry model (bind1_tt3_s0 / physical loop2_full, seed 0, frozen 2026-07-05) 2 days ago
  • tokenizer_config.json
    232 Bytes
    entry model (bind1_tt3_s0 / physical loop2_full, seed 0, frozen 2026-07-05) 2 days ago
  • train_loop2_full.json
    1.19 MB
    full training telemetry (loss + mechanism instrumentation, 1.8k records) 2 days ago