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Model: edwixx/qwen3-8b-triton
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+- en
+- zh
+tags:
+- qwen3
+- qwen
+- causal-lm
+- triton
+- fine-tune
+- safetensors
+- bfloat16
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-8B
+---
+> Note:This project represents independent research conducted on personal compute resources (rented from Modal.com) and is not associated with my employer or organization
+# Qwen3-8B-Triton-Finetune
+
+A fine-tuned version of **Qwen3-8B** (the latest generation of Qwen large language models by Alibaba Cloud), further trained using a **Triton-based** fine-tuning pipeline. This model retains the strong reasoning and instruction-following capabilities of Qwen3-8B while adding task-specific adaptations via custom Triton kernels.
+
+## Model Details
+
+- **Base Model**: [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B)
+- **Architecture**: Qwen3ForCausalLM
+- **Parameters**: 8.19B (BF16)
+- **Hidden Size**: 4096
+- **Intermediate Size**: 12288
+- **Attention Heads**: 32 (8 KV heads, grouped-query attention)
+- **Layers**: 36 (full attention, no sliding window)
+- **Max Position Embeddings**: 40,960 tokens
+- **Vocabulary Size**: 151,936
+- **Attention Mechanism**: RoPE (Rotary Position Embeddings, theta=1,000,000)
+- **Activation**: SiLU (SwigLU)
+- **Precision**: bfloat16
+- **Chat Template**: im_start/im_end format with tool calling support
+
+## Capabilities
+
+- **Text generation & completion**: General-purpose language understanding and generation
+- **Instruction following**: Fine-tuned for chat and instructions
+- **Multi-step tool calling**: Built-in tool/function calling support via the chat template
+- **Extended context**: Supports up to ~40K tokens of context
+- **Reasoning**: Supports think/reasoning blocks (`<think>...</think>`) in generation
+
+## Files
+
+| File | Description |
+|------|-------------|
+| `config.json` | Model architecture configuration |
+| `generation_config.json` | Generation parameters |
+| `model-*.safetensors` | Model weights (sharded across 4 files) |
+| `model.safetensors.index.json` | Weight shard index |
+| `tokenizer.json` | Tokenizer |
+| `tokenizer_config.json` | Tokenizer configuration |
+| `vocab.json` | Vocabulary |
+| `merges.txt` | BPE merges |
+| `added_tokens.json` | Special/added tokens |
+| `special_tokens_map.json` | Special token mapping |
+| `chat_template.jinja` | Chat template (Jinja) |
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "edwixx/qwen3-8b-triton-finetune",
+    torch_dtype="bfloat16",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained("edwixx/qwen3-8b-triton-finetune")
+
+messages = [
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": "Explain what fine-tuning with Triton means."}
+]
+
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+
+inputs = tokenizer(text, return_tensors="pt").to(model.device)
+outputs = model.generate(**inputs, max_new_tokens=512)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## License
+
+Apache 2.0 (inherited from Qwen3-8B).
+
+## Citation
+
+```bibtex
+@misc{edwixx-qwen3-8b-triton-finetune,
+  author = {Anurag Kanade},
+  title = {qwen3-8b-triton-finetune},
+  year = {2026},
+  publisher = {Hugging Face},
+  journal = {Hugging Face Hub},
+  howpublished = {\url{https://huggingface.co/edwixx/qwen3-8b-triton-finetune}}
+}
+```