Text Generation
Transformers
Safetensors
mixtral
Mixture of Experts
Eval Results (legacy)
text-generation-inference
Instructions to use mistral-community/Mixtral-8x22B-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mistral-community/Mixtral-8x22B-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mistral-community/Mixtral-8x22B-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("mistral-community/Mixtral-8x22B-v0.1") model = AutoModelForCausalLM.from_pretrained("mistral-community/Mixtral-8x22B-v0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use mistral-community/Mixtral-8x22B-v0.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mistral-community/Mixtral-8x22B-v0.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mistral-community/Mixtral-8x22B-v0.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/mistral-community/Mixtral-8x22B-v0.1
- SGLang
How to use mistral-community/Mixtral-8x22B-v0.1 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 "mistral-community/Mixtral-8x22B-v0.1" \ --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": "mistral-community/Mixtral-8x22B-v0.1", "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 "mistral-community/Mixtral-8x22B-v0.1" \ --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": "mistral-community/Mixtral-8x22B-v0.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use mistral-community/Mixtral-8x22B-v0.1 with Docker Model Runner:
docker model run hf.co/mistral-community/Mixtral-8x22B-v0.1
Upload tokenizer
Browse files- special_tokens_map.json +21 -3
- tokenizer.json +7 -16
- tokenizer_config.json +2 -1
special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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tokenizer.json
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"special": true
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"type": "Replace",
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"pattern": {
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"String": " "
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"content": "▁"
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},
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"pre_tokenizer": null,
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"post_processor": {
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"type": "TemplateProcessing",
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"single": [
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"end_of_word_suffix": null,
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"fuse_unk": true,
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"byte_fallback": true,
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"vocab": {
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"<unk>": 0,
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"<s>": 1,
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"special": true
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],
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"normalizer": null,
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"pre_tokenizer": {
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"type": "Metaspace",
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"replacement": "▁",
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"prepend_scheme": "first",
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"split": false
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"post_processor": {
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"type": "TemplateProcessing",
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"single": [
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"end_of_word_suffix": null,
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"fuse_unk": true,
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"byte_fallback": true,
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"ignore_merges": false,
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"vocab": {
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"<unk>": 0,
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"<s>": 1,
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy":
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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"sp_model_kwargs": {},
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"add_bos_token": true,
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"add_prefix_space": null,
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"added_tokens_decoder": {
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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"sp_model_kwargs": {},
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