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instruction-pretrain-finance-Llama3-8B-4bit

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llama
finance
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- 76a8d19257e1928611e89b312d80c9a5bdf263ca66a869769c84a5d4a3f52747 (e8d3500b5094e9c2b7d39db98ea4cd97ea5a3525)

Files changed (7) hide show
  1. README.md +29 -0
  2. config.json +31 -0
  3. model.safetensors +3 -0
  4. model.safetensors.index.json +750 -0
  5. special_tokens_map.json +16 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +2062 -0
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: llama3
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+ tags:
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+ - finance
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+ - mlx
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+ datasets:
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+ - Open-Orca/OpenOrca
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+ - GAIR/lima
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+ - WizardLM/WizardLM_evol_instruct_V2_196k
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+ ---
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+
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+ # mlx-community/instruction-pretrain-finance-Llama3-8B-4bit
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+
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+ The Model [mlx-community/instruction-pretrain-finance-Llama3-8B-4bit](https://huggingface.co/mlx-community/instruction-pretrain-finance-Llama3-8B-4bit) was converted to MLX format from [instruction-pretrain/finance-Llama3-8B](https://huggingface.co/instruction-pretrain/finance-Llama3-8B) using mlx-lm version **0.14.3**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("mlx-community/instruction-pretrain-finance-Llama3-8B-4bit")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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+ "model_type": "llama",
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+ "pretraining_tp": 1,
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+ "quantization": {
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+ "bits": 4
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+ "rms_norm_eps": 1e-05,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.40.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }
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