初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/c4ai-command-r7b-12-2024-bf16
Source: Original Platform

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README.md

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+---
+base_model: CohereForAI/c4ai-command-r7b-12-2024
+language:
+- en
+- fr
+- de
+- es
+- it
+- pt
+- ja
+- ko
+- zh
+- ar
+- el
+- fa
+- pl
+- id
+- cs
+- he
+- hi
+- nl
+- ro
+- ru
+- tr
+- uk
+- vi
+library_name: transformers
+license: cc-by-nc-4.0
+tags:
+- mlx
+inference: false
+extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and
+  acknowledge that the information you provide will be collected, used, and shared
+  in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll
+  receive email updates about C4AI and Cohere research, events, products and services.
+  You can unsubscribe at any time.
+extra_gated_fields:
+  Name: text
+  Affiliation: text
+  Country: country
+  I agree to use this model for non-commercial use ONLY: checkbox
+---
+
+# mlx-community/c4ai-command-r7b-12-2024-bf16
+
+The Model [mlx-community/c4ai-command-r7b-12-2024-bf16](https://huggingface.co/mlx-community/c4ai-command-r7b-12-2024-bf16) was
+converted to MLX format from [CohereForAI/c4ai-command-r7b-12-2024](https://huggingface.co/CohereForAI/c4ai-command-r7b-12-2024)
+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/c4ai-command-r7b-12-2024-bf16")
+
+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": [
+        "Cohere2ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 5,
+    "cache_implementation": "hybrid",
+    "eos_token_id": 255001,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "layer_norm_eps": 1e-05,
+    "layer_switch": 4,
+    "logit_scale": 0.25,
+    "max_position_embeddings": 8192,
+    "model_type": "cohere2",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "order_of_interleaved_layers": "local_attn_first",
+    "pad_token_id": 0,
+    "position_embedding_type": "rope_gptj",
+    "rope_scaling": null,
+    "rope_theta": 50000,
+    "rotary_pct": 1.0,
+    "sliding_window": 4096,
+    "sliding_window_pattern": 4,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.48.0.dev0",
+    "use_cache": true,
+    "use_embedding_sharing": true,
+    "use_gated_activation": true,
+    "use_parallel_block": true,
+    "use_parallel_embedding": true,
+    "vocab_size": 256000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

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