4bits-quantized

README.md

@@ -1,208 +0,0 @@
----
-language:
-- en
-- de
-- fr
-- it
-- pt
-- hi
-- es
-- th
-library_name: transformers
-license: llama3.1
-pipeline_tag: text-generation
-tags:
-- facebook
-- meta
-- pytorch
-- llama
-- llama-3
-- mlx
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----
-
-# mlx-community/Meta-Llama-3.1-405B-4bit
-
-The Model [mlx-community/Meta-Llama-3.1-405B-4bit](https://huggingface.co/mlx-community/Meta-Llama-3.1-405B-4bit) was converted to MLX format from [meta-llama/Meta-Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct) using mlx-lm version **0.16.0**.
-
-## Use with mlx
-
-```bash
-pip install mlx-lm
-```
-
-```python
-from mlx_lm import load, generate
-
-model, tokenizer = load("mlx-community/Meta-Llama-3.1-405B-4bit")
-response = generate(model, tokenizer, prompt="hello", verbose=True)
-```

config.json

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-{
-    "architectures": [
-        "LlamaForCausalLM"
-    ],
-    "attention_bias": false,
-    "attention_dropout": 0.0,
-    "bos_token_id": 128000,
-    "eos_token_id": [
-        128001,
-        128008,
-        128009
-    ],
-    "hidden_act": "silu",
-    "hidden_size": 16384,
-    "initializer_range": 0.02,
-    "intermediate_size": 53248,
-    "max_position_embeddings": 131072,
-    "mlp_bias": false,
-    "model_type": "llama",
-    "num_attention_heads": 128,
-    "num_hidden_layers": 126,
-    "num_key_value_heads": 16,
-    "pretraining_tp": 1,
-    "quantization": {
-        "group_size": 64,
-        "bits": 4
-    },
-    "rms_norm_eps": 1e-05,
-    "rope_scaling": {
-        "factor": 8.0,
-        "low_freq_factor": 1.0,
-        "high_freq_factor": 4.0,
-        "original_max_position_embeddings": 8192,
-        "rope_type": "llama3"
-    },
-    "rope_theta": 500000.0,
-    "tie_word_embeddings": false,
-    "torch_dtype": "bfloat16",
-    "transformers_version": "4.42.3",
-    "use_cache": true,
-    "vocab_size": 128256
-}

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