Instructions to use appvoid/linear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use appvoid/linear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="appvoid/linear")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("appvoid/linear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use appvoid/linear with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "appvoid/linear" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "appvoid/linear", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/appvoid/linear
- SGLang
How to use appvoid/linear 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 "appvoid/linear" \ --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": "appvoid/linear", "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 "appvoid/linear" \ --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": "appvoid/linear", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use appvoid/linear with Docker Model Runner:
docker model run hf.co/appvoid/linear
Download config.json from appvoid/linear: direct link, hf CLI and curl.
- Browser
- Download file 846 Bytes
-
https://huggingface.co/appvoid/linear/resolve/main/config.json
- Command line
-
hf download hf://appvoid/linear/config.json
-
curl -L -o config.json https://huggingface.co/appvoid/linear/resolve/main/config.json
846 Bytes
| { | |
| "allow_neg_eigval": false, | |
| "attn": null, | |
| "attn_mode": "chunk", | |
| "bos_token_id": 257, | |
| "conv_bias": false, | |
| "conv_size": 4, | |
| "decay_gate": "vector", | |
| "decouple_erase": true, | |
| "eos_token_id": 256, | |
| "fuse_cross_entropy": true, | |
| "fuse_linear_cross_entropy": false, | |
| "fuse_norm": true, | |
| "fuse_swiglu": true, | |
| "hidden_act": "swish", | |
| "hidden_ratio": null, | |
| "hidden_size": 640, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 960, | |
| "k_head_dim": 128, | |
| "max_position_embeddings": 4096, | |
| "model_type": "kronlstm", | |
| "norm_eps": 1e-05, | |
| "normalize_v": true, | |
| "num_heads": 5, | |
| "num_hidden_layers": 24, | |
| "transformers_version": "4.57.6", | |
| "use_beta": true, | |
| "use_cache": false, | |
| "use_l2warp": false, | |
| "use_output_gate": true, | |
| "use_short_conv": true, | |
| "use_target_gate": true, | |
| "v_head_dim": 128, | |
| "vocab_size": 260 | |
| } | |