Instructions to use OptGear/Opt.Gear-1M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OptGear/Opt.Gear-1M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OptGear/Opt.Gear-1M", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OptGear/Opt.Gear-1M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use OptGear/Opt.Gear-1M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OptGear/Opt.Gear-1M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OptGear/Opt.Gear-1M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/OptGear/Opt.Gear-1M
- SGLang
How to use OptGear/Opt.Gear-1M 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 "OptGear/Opt.Gear-1M" \ --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": "OptGear/Opt.Gear-1M", "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 "OptGear/Opt.Gear-1M" \ --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": "OptGear/Opt.Gear-1M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use OptGear/Opt.Gear-1M with Docker Model Runner:
docker model run hf.co/OptGear/Opt.Gear-1M
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c8b83fc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | {
"_sliding_window_pattern": 6,
"architectures": [
"GearForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"attn_logit_softcapping": null,
"auto_map": {
"AutoConfig": "configuration_gear.GearConfig",
"AutoModelForCausalLM": "modeling_gear.GearForCausalLM"
},
"bos_token_id": 1,
"conv_L_cache": 4,
"dtype": "bfloat16",
"eos_token_id": 2,
"final_logit_softcapping": null,
"head_dim": 64,
"hidden_activation": "relu6",
"hidden_size": 128,
"initializer_range": 0.02,
"intermediate_size": 272,
"layer_types": [
"conv_mixer",
"conv_mixer",
"full_attention",
"conv_mixer",
"conv_mixer"
],
"max_position_embeddings": 512,
"model_type": "gear",
"num_attention_heads": 2,
"num_hidden_layers": 5,
"num_key_value_heads": 1,
"pad_token_id": 0,
"query_pre_attn_scalar": 64,
"rms_norm_eps": 1e-06,
"rope_local_base_freq": 10000,
"rope_scaling": null,
"rope_theta": 1000000,
"sliding_window": 512,
"transformers_version": "4.57.3",
"use_bidirectional_attention": false,
"use_cache": true,
"vocab_size": 2048
}
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