prince-canuma
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Browse files- README.md +1 -4
- config.json +1 -55
- model-00001-of-00008.safetensors +2 -2
- model-00002-of-00008.safetensors +2 -2
- model-00003-of-00008.safetensors +2 -2
- model-00004-of-00008.safetensors +2 -2
- model-00005-of-00008.safetensors +2 -2
- model-00006-of-00008.safetensors +2 -2
- model-00007-of-00008.safetensors +2 -2
- model-00008-of-00008.safetensors +2 -2
- model.safetensors.index.json +0 -0
- special_tokens_map.json +1 -1
- tokenizer.json +1 -0
- tokenizer_config.json +1 -2
README.md
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---
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# mlx-community/Meta-Llama-3-70B-4bit
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This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B`]() using mlx-lm version **0.
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Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
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Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B) for more details on the model.
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## Use with mlx
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---
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# mlx-community/Meta-Llama-3-70B-4bit
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This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B`]() using mlx-lm version **0.10.0**.
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Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B) for more details on the model.
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## Use with mlx
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"hidden_act": "silu",
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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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"model_type": "llama",
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"quantization": {
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"bits": 4
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"temperature": 1.0,
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"tf_legacy_loss": false,
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": "bfloat16",
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"
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"transformers_version": "4.40.0",
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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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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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"hidden_size": 8192,
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"initializer_range": 0.02,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"pretraining_tp": 1,
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"quantization": {
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"group_size": 64,
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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": "bfloat16",
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"transformers_version": "4.40.0.dev0",
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"use_cache": true,
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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"chat_template": "{% 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 %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
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