Instructions to use recursive-models/recursive1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use recursive-models/recursive1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="recursive-models/recursive1")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("recursive-models/recursive1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use recursive-models/recursive1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "recursive-models/recursive1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "recursive-models/recursive1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/recursive-models/recursive1
- SGLang
How to use recursive-models/recursive1 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 "recursive-models/recursive1" \ --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": "recursive-models/recursive1", "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 "recursive-models/recursive1" \ --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": "recursive-models/recursive1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use recursive-models/recursive1 with Docker Model Runner:
docker model run hf.co/recursive-models/recursive1
Upload TRMForCausalLM
Browse files- config.json +7 -9
- model.safetensors +2 -2
config.json
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"H_layers": 0,
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"batch_size": 1,
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"causal": true,
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"dropout": 0.
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"expansion": 4,
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"forward_dtype": "bfloat16",
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"freeze_embeddings": false,
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"full_grad_recursion": true,
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"halt_exploration_prob": 0.1,
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"halt_max_steps": 8,
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"hidden_size": 768,
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"loss": {
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"loss_type": "
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"name": "losses@ACTLossHead"
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},
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"mlp_t": false,
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"name": "recursive_reasoning.trm@TinyRecursiveModel",
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"no_ACT_continue": true,
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"num_heads":
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"num_layers":
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"num_puzzle_identifiers": 1,
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"pos_encodings": "rope",
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"pretrained_embeddings_model": "Alibaba-NLP/gte-modernbert-base",
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"puzzle_emb_len": 0,
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"puzzle_emb_ndim": 0,
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"residual_recursion":
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"seq_len":
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"vocab_size": 50368,
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"y_cycles": 2,
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"z_cycles":
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}
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}
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"H_layers": 0,
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"batch_size": 1,
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"causal": true,
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"dropout": 0.2,
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"expansion": 4,
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"forward_dtype": "bfloat16",
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"freeze_embeddings": false,
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"halt_exploration_prob": 0.1,
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"halt_max_steps": 8,
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"hidden_size": 768,
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"loss": {
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"loss_type": "stablemax_cross_entropy",
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"name": "losses@ACTLossHead"
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},
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"name": "recursive_reasoning.trm@TinyRecursiveModel",
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"no_ACT_continue": true,
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"num_heads": 12,
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"num_layers": 8,
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"num_puzzle_identifiers": 1,
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"pos_encodings": "rope",
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"pretrained_embeddings_model": "Alibaba-NLP/gte-modernbert-base",
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"puzzle_emb_len": 0,
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"puzzle_emb_ndim": 0,
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"residual_recursion": false,
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"seq_len": 512,
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"vocab_size": 50368,
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"y_cycles": 2,
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"z_cycles": 3
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}
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:a90414327a4218c51b6ad370d10fdb3719d49fb9c7ddc7750b42f119ec5cfadf
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size 535967176
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