初始化项目，由ModelHub XC社区提供模型

Model: maxzt/Roswaal-8B
Source: Original Platform

.gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,102 @@
+---
+license: apache-2.0
+base_model: Qwen3-8B
+language:
+  - en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+  - qwen3
+  - reasoning
+  - uncensored
+  - chain-of-thought
+  - math
+  - gsm8k
+  - unsloth
+  - maxzt
+---
+
+![image](https://cdn-uploads.huggingface.co/production/uploads/6a535822f7c1c2b44a684b39/1klDT0g2XRYgvHnwPRI_X.png)
+
+# Roswaal-8B
+
+**Roswaal-8B** is a full-parameter reasoning model built on top of a **deeply uncensored Qwen3-8B** and post-trained via Chain-of-Thought (CoT) distillation. 
+
+The result is a compact, fast, **dramatically more capable** 8B reasoning model that proves data quality beats brute-force volume. Headline capabilities:
+
+- **🏆 Dominates benchmarks:** Scores **87.64% exact_match** on the full GSM8K test set (1,319 questions) using 5-shot evaluation — outperforming both its base model and heavily fine-tuned 50K-synthetic variants.
+- **🧠 Advanced Chain-of-Thought:** Strictly trained to deconstruct complex prompts, show its work step-by-step, and perform self-correction inside `<think>` blocks before outputting the final answer.
+- **⚡ High-Efficiency Training:** Trained locally on a single NVIDIA RTX 6000 Ada Generation (96GB VRAM) in just over an hour using [Unsloth](https://github.com/unslothai/unsloth) optimization.
+
+Roswaal-8B is intentionally designed to engage seriously with technically demanding, multi-step logical and mathematical challenges without unnecessary refusals or boilerplate disclaimers.
+
+---
+
+## Benchmark Results
+
+![image](https://cdn-uploads.huggingface.co/production/uploads/6a535822f7c1c2b44a684b39/2otPSJ0-Yx3Gh365soPU2.png)
+
+Evaluated on the full GSM8K test set (1,319 problems) using `lm-evaluation-harness` with a 5-shot prompt configuration (`temperature=0.1` / low-temp reasoning).
+
+| Model | GSM8K Accuracy |
+| :--- | :--- |
+| Gemma 3 4B IT | 89.2% |
+| Qwen2.5 Coder 14B Instruct | 88.7% |
+| Phi-4-mini | 88.6% |
+| **Roswaal-8B** | **87.64%** |
+| Qwen2.5 Coder 7B Instruct | 86.7% |
+| Phi 3.5 Mini Instruct | 86.2% |
+| Phi-3 Medium (4k-instruct) | 85.2% |
+| Gemma 2 9B | 84.9% |
+| Llama 3.1 8B Instruct | 82.4% |
+| **Qwen3-8B** | **79.4%** |
+| Mistral-7B | 77.9% |
+| Llama 3.2 3B | 77.7% |
+
+*Roswaal-8B scores 8.24 p.p. above Qwen3-8B on GSM8K.*
+
+---
+
+## Methodology: Why It Works
+
+Unlike standard fine-tuning processes that attempt to map a question directly to an answer, Roswaal-8B was explicitly trained on ~20,000 highly curated Chain-of-Thought (CoT) sequences. 
+
+The training objective forces the model to:
+1. Deconstruct complex prompts into smaller, actionable logical steps.
+2. Self-correct during the generation phase (e.g., catching internal arithmetic errors before outputting the final answer).
+3. Strictly isolate its internal monologue from the user-facing output using specialized structural tags.
+
+---
+
+### Hyperparameters
+
+| Parameter | SFT |
+|---|---|
+| Method | LoRA (16-bit) | 
+| LoRA rank (r) | 16 |
+| LoRA alpha | 32 |
+| LoRA targets | "q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj" |
+| Learning rate | 1e-4 |
+| Scheduler | Cosine |
+| Optimizer | adamw_8bit |
+| Epochs | 1 |
+| Batch size | 8 |
+| Gradient accumulation | 4 |
+| Max sequence length | 2,048 |
+| Precision | bf16 |
+| Gradient checkpointing | Unsloth |
+
+---
+
+## Prompt Format & Generation Strategy
+
+Roswaal-8B relies on the standard ChatML template but requires a specific generation logic. The model expects to enclose its reasoning process inside `<think>...</think>` tags.
+
+**Recommended Generation Parameters:**
+- **Temperature:** `0.1` to `0.6` (Keep it low to prevent logical drift during complex math).
+- **Top_p:** `0.9`
+- **Max_new_tokens:** `1024` - `4096` (Crucial: The model needs enough token space to "think" before answering. Do not restrict this too heavily).
+
+---
+
+**Developed by maxzt**

chat_template.jinja

@@ -0,0 +1,8 @@
+{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user
+' + message['content'] + '<|im_end|>
+'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant
+' + message['content'] + '<|im_end|>
+' }}{% else %}{{ '<|im_start|>system
+' + message['content'] + '<|im_end|>
+' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

@@ -0,0 +1,71 @@
+{
+    "architectures": [
+        "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": null,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 12288,
+    "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",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention",
+        "full_attention"
+    ],
+    "max_position_embeddings": 40960,
+    "max_window_layers": 36,
+    "model_type": "qwen3",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "pad_token_id": 151643,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+        "rope_theta": 1000000,
+        "rope_type": "default"
+    },
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "unsloth_version": "2026.7.6",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,10 @@
+{
+  "do_sample": true,
+  "eos_token_id": 151645,
+  "max_length": 40960,
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.5.0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e928c81c98e8bc118888312234b2b8f403a310bb1eb5ad075ffcda4cd2ceb24
+size 16381517208

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:476870a1f2fb6f6a2759a6ede2383bf9d5d738f17844563b65c91965b722ae09
+size 11422924

tokenizer_config.json

@@ -0,0 +1,221 @@
+{
+  "add_prefix_space": null,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "eos_token": "<|im_end|>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": false
+    }
+  },
+  "chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"
+}