Model Intelligence Sheet
didula-wso2/qwen3_swe_local_ep2grpo_gguf overview
qwen3 swe local ep2grpo gguf : GGUF This model was finetuned and converted to GGUF format using Unsloth https://github.com/unslothai/unsloth . Example usage : …
Runs locally from ~8.11 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
1 GGUF files detected
Direct downloads for local inference
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3-8B-rl530_with_think_knowledge_merged.Q8_0.gguf | GGUF | GGUF | 8.11 GB | Download |
Model Details
| Model ID | didula-wso2/qwen3_swe_local_ep2grpo_gguf |
|---|---|
| Author | didula-wso2 |
| Pipeline | — |
| License | — |
| Base model | — |
| Last modified | 2026-07-09T07:37:46.000Z |
Model README
---
tags:
- gguf
- llama.cpp
- unsloth
---
qwen3_swe_local_ep2grpo_gguf : GGUF
This model was finetuned and converted to GGUF format using Unsloth.
Example usage:
- For text only LLMs:
llama-cli -hf didula-wso2/qwen3_swe_local_ep2grpo_gguf --jinja - For multimodal models:
llama-mtmd-cli -hf didula-wso2/qwen3_swe_local_ep2grpo_gguf --jinja
Available Model files:
Qwen3-8B-rl530_with_think_knowledge_merged.Q8_0.gguf
This was trained 2x faster with Unsloth
Run didula-wso2/qwen3_swe_local_ep2grpo_gguf with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models