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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