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README.md

@@ -0,0 +1,58 @@
+---
+license: wtfpl
+language:
+- en
+- zh
+- ja
+- de
+datasets:
+- JosephusCheung/GuanacoDataset
+- meta-math/MetaMathQA
+- jondurbin/airoboros-3.1
+- WizardLM/WizardLM_evol_instruct_V2_196k
+- RyokoAI/ShareGPT52K
+- RyokoAI/Fandom23K
+- milashkaarshif/MoeGirlPedia_wikitext_raw_archive
+- wikipedia
+- wiki_lingua
+- garage-bAInd/Open-Platypus
+- LDJnr/Puffin
+- BAAI/COIG
+- TigerResearch/tigerbot-zhihu-zh-10k
+- liwu/MNBVC
+- teknium/openhermes
+- CausalLM/Refined-Anime-Text
+- microsoft/orca-math-word-problems-200k
+- m-a-p/CodeFeedback-Filtered-Instruction
+base_model: CausalLM/35b-beta-long
+tags:
+- mlx
+---
+
+# mlx-community/CausalLM-35b-beta-long-4bit
+
+The Model [mlx-community/CausalLM-35b-beta-long-4bit](https://huggingface.co/mlx-community/CausalLM-35b-beta-long-4bit) was
+converted to MLX format from [CausalLM/35b-beta-long](https://huggingface.co/CausalLM/35b-beta-long)
+using mlx-lm version **0.20.4**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/CausalLM-35b-beta-long-4bit")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```

config.json

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+{
+    "architectures": [
+        "CohereForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 5,
+    "eos_token_id": 6,
+    "hidden_act": "silu",
+    "hidden_size": 8192,
+    "initializer_range": 0.02,
+    "intermediate_size": 22528,
+    "layer_norm_eps": 1e-05,
+    "logit_scale": 0.0625,
+    "max_position_embeddings": 8192,
+    "model_max_length": 131072,
+    "model_type": "cohere",
+    "num_attention_heads": 64,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 64,
+    "pad_token_id": 0,
+    "pretraining_tp": 1,
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "quantization_config": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 8000000.0,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.38.2",
+    "use_cache": true,
+    "vocab_size": 256000
+}

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