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hkoldcat
/
wikisql-4bit-1k

Text Generation
MLX
Safetensors
English
mistral
pretrained
Model card Files Community
1
hkoldcat commited on
Commit
9f7308e
•
1 Parent(s): 13277e0

ddb7b3b30e1ab945d3676272b2d5bba05ed783b14e8e3154c0cab43f1790c028

Browse files
Files changed (7) hide show
  1. README.md +31 -0
  2. config.json +28 -0
  3. model.safetensors.index.json +750 -0
  4. special_tokens_map.json +23 -0
  5. tokenizer.json +0 -0
  6. tokenizer.model +3 -0
  7. tokenizer_config.json +43 -0
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ pipeline_tag: text-generation
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+ tags:
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+ - pretrained
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+ - mlx
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+ inference:
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+ parameters:
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+ temperature: 0.7
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+ extra_gated_description: If you want to learn more about how we process your personal
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+ data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
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+ ---
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+
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+ # hkoldcat/wikisql-4bit-1k
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+
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+ The Model [hkoldcat/wikisql-4bit-1k](https://huggingface.co/hkoldcat/wikisql-4bit-1k) was converted to MLX format from [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) using mlx-lm version **0.18.1**.
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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("hkoldcat/wikisql-4bit-1k")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
config.json ADDED
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+ {
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 4
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.34.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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