Text Generation
Safetensors
PyTorch
Italian
English
mistral
pretrained
causal-lm
minerva
autoround
intel-autoround
autoawq
auto-awq
auto_awq
woq
gptq
intel
conversational
4-bit precision
awq
Instructions to use fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- vLLM
How to use fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym
- SGLang
How to use fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym 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 "fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym with Docker Model Runner:
docker model run hf.co/fbaldassarri/sapienzanlp_Minerva-7B-instruct-v1.0-autoawq-int4-gs128-sym
File size: 2,060 Bytes
fbd77ce | 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 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 | {
"add_bos_token": true,
"add_eos_token": false,
"add_prefix_space": null,
"added_tokens_decoder": {
"0": {
"content": "<s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"1": {
"content": "</s>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"2": {
"content": "<unk>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"51200": {
"content": "<|start_header_id|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"51201": {
"content": "<|end_header_id|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"51202": {
"content": "<|eot_id|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
}
},
"additional_special_tokens": [
"<|start_header_id|>",
"<|end_header_id|>",
"<|eot_id|>"
],
"bos_token": "<s>",
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<|eot_id|>",
"extra_special_tokens": {},
"legacy": true,
"model_max_length": 4096,
"pad_token": "<|eot_id|>",
"padding_side": "right",
"split_special_tokens": false,
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false,
"vocab_size": 51200
}
|