Qwen3.5 9B SFT Claude Opus Reasoning Unsloth GGUF

--- license: apache-2.0 base_model: - unsloth/Qwen3.5-9B library_name: gguf pipeline_tag: text-generation tags: - gguf - llama.cpp - quantized - unsloth - lora - trl - sft --- # Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth-GGUF GGUF quantizations of a LoRA fine-tune of [`unsloth/Qwen3.5-9B`](https://huggingface.co/unsloth/Qwen3.5-9B), supervised fine-tuned on `ermiaazarkhalili/claude-reasoning-distillation` (private) (config `sft`). Quantized from [`ermiaazarkhalili/Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth`](https://huggingface.co/ermiaazarkhalili/Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth). See that repository for the full-precision weights. | | | | --- | --- | | **Base model** | [`unsloth/Qwen3.5-9B`](https://huggingface.co/unsloth/Qwen3.5-9B) | | **Training data** | `ermiaazarkhalili/claude-reasoning-distillation` (private) (config `sft`) | | **Method** | LoRA supervised fine-tuning via [Unsloth](https://github.com/unslothai/unsloth) + [TRL](https://github.com/huggingface/trl) | | **License** | `apache-2.0` (inherited from the base model) | ## Available quantizations | File | Size | | --- | --- | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q2_k.gguf` | 3.83 GB | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q3_k_m.gguf` | 4.62 GB | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q4_k_m.gguf` | 5.63 GB | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q5_k_m.gguf` | 6.47 GB | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q6_k.gguf` | 7.36 GB | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q8_0.gguf` | 9.53 GB | ## Usage ### llama.cpp ```bash huggingface-cli download ermiaazarkhalili/Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth-GGUF qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q4_k_m.gguf --local-dir . llama-cli -m qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q4_k_m.gguf -p "Explain gradient checkpointing in two sentences." -n 256 ``` ### Ollama ```bash echo 'FROM ./qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q4_k_m.gguf' > Modelfile ollama create qwen3.5-9b-sft-claude-opus-reasoning-unsloth-gguf -f Modelfile ollama run qwen3.5-9b-sft-claude-opus-reasoning-unsloth-gguf ``` ## Training configuration | Setting | Value | | --- | --- | | LoRA rank (r) | 64 | | LoRA alpha | 64 | | Learning rate | 0.0002 | | Epochs | 1 | | Effective batch size | 8 (1 x 8 grad accum) | | Max sequence length | 2048 | | Base precision | 4-bit...

--- base_model: ermiaazarkhalili/Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth tags: - gguf - llama.cpp - unsloth - qwen3.5 - sft - distillation - reasoning - quantized license: apache-2.0 language: - en datasets: - ermiaazarkhalili/claude-reasoning-distillation pipeline_tag: text-generation --- # Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth — GGUF quantized GGUF quantizations of [`ermiaazarkhalili/Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth`](https://huggingface.co/ermiaazarkhalili/Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth), produced via [Unsloth](https://github.com/unslothai/unsloth) + llama.cpp's conversion scripts. | Field | Value | |---|---| | **Source checkpoint** | [`ermiaazarkhalili/Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth`](https://huggingface.co/ermiaazarkhalili/Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth) | | **Base model** | [`unsloth/Qwen3.5-9B`](https://huggingface.co/unsloth/Qwen3.5-9B) | | **Dataset** | [`claude-reasoning-distillation`](https://huggingface.co/datasets/ermiaazarkhalili/claude-reasoning-distillation) (10,477 samples) | | **Architecture** | Qwen3.5 hybrid transformer + state-space (SSM) blocks | | **Training** | 1 full epoch (effective batch=8 via per_device=1 × grad_accum=8) | | **LoRA** | r=64, α=64 (Jackrong recipe), dropout=0 | | **Final training loss** | 0.795 (job 37216727, runtime 2h 32m on H100 MIG 3g.40gb, peak VRAM 20.25 GB) | | **Conversion** | Unsloth `save_pretrained` → llama.cpp `convert_hf_to_gguf.py` → `llama-quantize` | | **Quantization tool** | llama.cpp `llama-quantize` (cached toolchain) | ## Available quantizations | File | Bits | Size | Notes | |---|---|---|---| | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q2_k.gguf` | 2-bit | 3.83 GB | Smallest; aggressive quality loss | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q3_k_m.gguf` | 3-bit | 4.62 GB | Small; noticeable quality loss | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q4_k_m.gguf` | 4-bit | 5.63 GB | **Recommended** — best size/quality balance | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q5_k_m.gguf` | 5-bit | 6.47 GB | Near-full quality | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q6_k.gguf` | 6-bit | 7.36 GB | Very close to Q8_0 at smaller size | | `qwen3.5-9b-sft-claude-opus-reasoning-unsloth.q8_0.gguf` | 8-bit | 9.53 GB | Largest; closest to bf16 source | **Recommended default:** `Q4_K_M` (4-bit, K-quant medium...

Source context: 226 downloads · 0 likes · Pipeline text-generation · Library gguf · Repo ermiaazarkhalili/Qwen3.5-9B-SFT-Claude-Opus-Reasoning-Unsloth-GGUF