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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - mlx
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+ ---
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+
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+ # GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5-mlx
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+ This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5`]().
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+ Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5) for more details on the model.
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install gbx-lm
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+ ```
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+
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+ ```python
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+ from gbx_lm import load, generate
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+
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+ model, tokenizer = load("GreenBitAI/Llama-3-8B-instruct-layer-mix-bpw-2.5-mlx")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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+ {
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+ "add_cross_attention": false,
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1"
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+ },
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+ "initializer_range": 0.02,
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+ },
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+ "length_penalty": 1.0,
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+ "model_type": "llama",
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+ "typical_p": 1.0,
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+ "use_bfloat16": false,
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }
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@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
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+ }
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+ },
2052
+ "bos_token": "<|begin_of_text|>",
2053
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% else %}{{ eos_token }}{% endif %}",
2054
+ "clean_up_tokenization_spaces": true,
2055
+ "eos_token": "<|end_of_text|>",
2056
+ "model_input_names": [
2057
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2058
+ "attention_mask"
2059
+ ],
2060
+ "model_max_length": 1000000000000000019884624838656,
2061
+ "tokenizer_class": "PreTrainedTokenizerFast"
2062
+ }