Text Generation
Safetensors
English
talkie
gptq
4-bit precision
quantized
instruction-tuned
vintage-language-model
chat
custom_code
Instructions to use dtestnyrr/talkie-1930-13b-it-gptq-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- vLLM
How to use dtestnyrr/talkie-1930-13b-it-gptq-int4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dtestnyrr/talkie-1930-13b-it-gptq-int4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dtestnyrr/talkie-1930-13b-it-gptq-int4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/dtestnyrr/talkie-1930-13b-it-gptq-int4
- SGLang
How to use dtestnyrr/talkie-1930-13b-it-gptq-int4 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 "dtestnyrr/talkie-1930-13b-it-gptq-int4" \ --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": "dtestnyrr/talkie-1930-13b-it-gptq-int4", "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 "dtestnyrr/talkie-1930-13b-it-gptq-int4" \ --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": "dtestnyrr/talkie-1930-13b-it-gptq-int4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use dtestnyrr/talkie-1930-13b-it-gptq-int4 with Docker Model Runner:
docker model run hf.co/dtestnyrr/talkie-1930-13b-it-gptq-int4
| { | |
| "bits": 4, | |
| "group_size": 128, | |
| "desc_act": false, | |
| "lm_head": false, | |
| "method": "gptq", | |
| "quant_method": "gptq", | |
| "format": "gptq", | |
| "checkpoint_format": "gptq", | |
| "pack_dtype": "int32", | |
| "meta": { | |
| "quantizer": [ | |
| "gptqmodel:6.0.3" | |
| ], | |
| "uri": "https://github.com/modelcloud/gptqmodel", | |
| "damp_percent": 0.05, | |
| "damp_auto_increment": 0.01, | |
| "static_groups": false, | |
| "true_sequential": true, | |
| "mse": 0.0, | |
| "gptaq": null, | |
| "foem": null, | |
| "act_group_aware": true, | |
| "fallback": { | |
| "strategy": "rtn", | |
| "threshold": "0.5%", | |
| "smooth": null | |
| }, | |
| "offload_to_disk": true, | |
| "offload_to_disk_path": "./gptqmodel_offload/ctrizrxh-tetrojst/", | |
| "pack_impl": "cpu", | |
| "gc_mode": "interval", | |
| "wait_for_submodule_finalizers": false, | |
| "auto_forward_data_parallel": true, | |
| "vram_strategy": "exclusive", | |
| "mock_quantization": false, | |
| "hessian": { | |
| "chunk_size": null, | |
| "chunk_bytes": null, | |
| "staging_dtype": "float32" | |
| } | |
| }, | |
| "sym": true | |
| } |