Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

reaperdoesntknow
/
DiscoverLM-70M

Text Generation
Transformers
TensorBoard
Safetensors
English
moa_metric
trl
sft
metric-attention
mixture-of-attentions
triangle-inequality
blackhole-rope
discrepancy-calculus
discover
convergentintel
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use reaperdoesntknow/DiscoverLM-70M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use reaperdoesntknow/DiscoverLM-70M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="reaperdoesntknow/DiscoverLM-70M")
    # Load model directly
    from transformers import MoAMetricLM
    model = MoAMetricLM.from_pretrained("reaperdoesntknow/DiscoverLM-70M", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use reaperdoesntknow/DiscoverLM-70M with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "reaperdoesntknow/DiscoverLM-70M"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "reaperdoesntknow/DiscoverLM-70M",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/reaperdoesntknow/DiscoverLM-70M
  • SGLang

    How to use reaperdoesntknow/DiscoverLM-70M 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 "reaperdoesntknow/DiscoverLM-70M" \
        --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": "reaperdoesntknow/DiscoverLM-70M",
    		"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 "reaperdoesntknow/DiscoverLM-70M" \
            --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": "reaperdoesntknow/DiscoverLM-70M",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use reaperdoesntknow/DiscoverLM-70M with Docker Model Runner:

    docker model run hf.co/reaperdoesntknow/DiscoverLM-70M
DiscoverLM-70M
281 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 25 commits
reaperdoesntknow's picture
reaperdoesntknow
keeper: refresh 2026-05-04
c57168c verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    14.3 kB
    keeper: refresh 2026-05-04 2 days ago
  • config.json
    1.6 kB
    Upload MoAMetricLM about 2 months ago
  • events.out.tfevents.1772979692.a28ffe9e0143.11703 (1).0
    201 kB
    xet
    Upload 2 files about 2 months ago
  • events.out.tfevents.1772979692.a28ffe9e0143.11703 (2).0
    201 kB
    xet
    Upload events.out.tfevents.1772979692.a28ffe9e0143.11703 (2).0 about 2 months ago
  • generation_config.json
    204 Bytes
    Upload MoAMetricLM about 2 months ago
  • model.safetensors
    277 MB
    xet
    Upload MoAMetricLM about 2 months ago
  • tokenizer.json
    3.38 MB
    Upload tokenizer about 2 months ago
  • tokenizer_config.json
    349 Bytes
    Upload tokenizer about 2 months ago
  • trainer_state.json
    148 kB
    Rename trainer_state (2).json to trainer_state.json about 2 months ago