MLX
Safetensors
cohere
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Commit
70addee
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Browse files
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ - zh
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+ - ja
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+ - de
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+ license: gpl-3.0
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+ tags:
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+ - mlx
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+ datasets:
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+ - JosephusCheung/GuanacoDataset
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+ - meta-math/MetaMathQA
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+ - jondurbin/airoboros-3.1
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+ - WizardLM/WizardLM_evol_instruct_V2_196k
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+ - RyokoAI/ShareGPT52K
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+ - RyokoAI/Fandom23K
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+ - milashkaarshif/MoeGirlPedia_wikitext_raw_archive
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+ - wikipedia
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+ - wiki_lingua
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+ - garage-bAInd/Open-Platypus
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+ - LDJnr/Puffin
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+ - BAAI/COIG
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+ - TigerResearch/tigerbot-zhihu-zh-10k
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+ - liwu/MNBVC
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+ - teknium/openhermes
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+ - CausalLM/Refined-Anime-Text
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+ - microsoft/orca-math-word-problems-200k
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+ - m-a-p/CodeFeedback-Filtered-Instruction
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+ ---
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+
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+ # mlx-community/35b-beta-long-8bit
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+
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+ The Model [mlx-community/35b-beta-long-8bit](https://huggingface.co/mlx-community/35b-beta-long-8bit) was converted to MLX format from [CausalLM/35b-beta-long](https://huggingface.co/CausalLM/35b-beta-long) using mlx-lm version **0.12.0**.
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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/35b-beta-long-8bit")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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+ {
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+ "architectures": [
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+ "CohereForCausalLM"
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 5,
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+ "eos_token_id": 6,
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+ "hidden_act": "silu",
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+ "hidden_size": 8192,
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+ "intermediate_size": 22528,
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+ "layer_norm_eps": 1e-05,
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+ "logit_scale": 0.0625,
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+ "max_position_embeddings": 8192,
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+ "model_type": "cohere",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 64,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 8
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 8000000.0,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 256000
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+ }
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