初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Kumru-2B-bf16
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: mlx
+license: apache-2.0
+language:
+- tr
+datasets:
+- vngrs-ai/vngrs-web-corpus
+tags:
+- mlx
+pipeline_tag: text-generation
+base_model: vngrs-ai/Kumru-2B
+---
+
+# mlx-community/Kumru-2B-bf16
+
+This model [mlx-community/Kumru-2B-bf16](https://huggingface.co/mlx-community/Kumru-2B-bf16) was
+converted to MLX format from [vngrs-ai/Kumru-2B](https://huggingface.co/vngrs-ai/Kumru-2B)
+using mlx-lm version **0.26.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Kumru-2B-bf16")
+
+prompt = "hello"
+
+if tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```

chat_template.jinja

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+{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
+
+'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
+
+' }}{% endif %}

config.json

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+{
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 2,
+    "dtype": "bfloat16",
+    "eos_token_id": 3,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 3072,
+    "initializer_range": 0.02,
+    "intermediate_size": 10752,
+    "max_position_embeddings": 8192,
+    "model_type": "mistral",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 18,
+    "num_key_value_heads": 4,
+    "pad_token_id": 0,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 500000,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.49.0",
+    "use_cache": true,
+    "vocab_size": 50176
+}

configuration.json

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

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 3,
+  "pad_token_id": 0,
+  "transformers_version": "4.49.0"
+}

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