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README.md

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+---
+license: apache-2.0
+base_model: "Qwen/Qwen3-0.6B"
+tags:
+- text-generation
+- deepspeed
+- fine-tuned
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# Qwen3-0.6B-v0.1
+
+DeepSpeed-Chat으로 파인튜닝된 언어 모델
+
+## Model Details
+
+이 모델은 DeepSpeed-Chat을 사용하여 파인튜닝된 모델입니다.
+
+- **Base Model**: 기본 모델 정보를 여기에 추가하세요
+- **Fine-tuning Method**: DeepSpeed-Chat
+- **Training Data**: 학습 데이터 정보를 여기에 추가하세요
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("mncai/Qwen3-0.6B-v0.1")
+model = AutoModelForCausalLM.from_pretrained("mncai/Qwen3-0.6B-v0.1")
+
+# 텍스트 생성
+input_text = "Your prompt here"
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=100)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+```
+
+## Training Details
+
+- **Training Framework**: DeepSpeed
+- **Training Script**: DeepSpeed-Chat Step 1 Supervised Fine-tuning
+- **Upload Date**: N/A
+
+## Limitations and Biases
+
+이 모델의 한계점과 편향성에 대한 정보를 여기에 추가하세요.
+
+## Citation
+
+DeepSpeed-Chat을 사용했다면 다음을 인용해주세요:
+
+```
+@misc{deepspeed-chat,
+  title={DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales},
+  author={Yuxiao Zhuang et al.},
+  year={2023},
+  url={https://github.com/microsoft/DeepSpeed}
+}
+```

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "end_token_id": 151645,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151645,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.53.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151672
+}

pytorch_model.bin

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+oid sha256:05568f391e8e2bb14dde542ba027cc2a37bbc80978ff922b7869b825e4d99358
+size 1191623484