Instructions to use flopsy1/mistral-7B-arXflix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flopsy1/mistral-7B-arXflix with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="flopsy1/mistral-7B-arXflix")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flopsy1/mistral-7B-arXflix", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use flopsy1/mistral-7B-arXflix with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "flopsy1/mistral-7B-arXflix" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "flopsy1/mistral-7B-arXflix", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/flopsy1/mistral-7B-arXflix
- SGLang
How to use flopsy1/mistral-7B-arXflix 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 "flopsy1/mistral-7B-arXflix" \ --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": "flopsy1/mistral-7B-arXflix", "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 "flopsy1/mistral-7B-arXflix" \ --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": "flopsy1/mistral-7B-arXflix", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use flopsy1/mistral-7B-arXflix with Docker Model Runner:
docker model run hf.co/flopsy1/mistral-7B-arXflix
Initial commit of arXflix fine-tuned Mistral model with LoRA
Browse files- README.md +16 -0
- lora.safetensors +3 -0
- params.json +18 -0
- tokenizer.model.v3 +0 -0
README.md
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# Mistral 7B instruct finetuned to produce script for axflix
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# Load model directly
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```py
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from mistral_inference.model import Transformer
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from mistral_inference.generate import generate
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from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
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from mistral_common.protocol.instruct.messages import UserMessage
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from mistral_common.protocol.instruct.request import ChatCompletionRequest
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tokenizer = MistralTokenizer.from_file("tokenizer.model.v3") # change to extracted tokenizer file
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model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") # change to extracted model dir
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model.load_lora("lora.safetensors")
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```
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lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:38905f09396cdfb7303af2cb9191990b52d754739bf5d024091d89e5daae5f25
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size 335594288
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params.json
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{
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"dim": 4096,
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"n_layers": 32,
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"head_dim": 128,
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"hidden_dim": 14336,
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"n_heads": 32,
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"n_kv_heads": 8,
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"norm_eps": 1e-05,
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"vocab_size": 32768,
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"rope_theta": 1000000.0,
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"lora": {
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"enable": true,
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"rank": 64,
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"dropout": 0.0,
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"scaling": 2.0
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},
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"moe": null
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}
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tokenizer.model.v3
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Binary file (588 kB). View file
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