Abu-Dju/qwen3-8b-squad_translate-lora-ar-F32-GGUF overview
Abu Dju/qwen3 8b squad translate lora ar F32 GGUF This LoRA adapter was converted to GGUF format from xummer/qwen3 8b squad translate lora ar https://huggingfa…
Runs locally from ~166.5 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| qwen3-8b-squad_translate-lora-ar-f32.gguf | GGUF | F32 | 166.5 MB | Download |
Model Details
| Model ID | Abu-Dju/qwen3-8b-squad_translate-lora-ar-F32-GGUF |
|---|---|
| Author | Abu-Dju |
| Pipeline | text-generation |
| License | other |
| Base model | xummer/qwen3-8b-squad_translate-lora-ar |
| Last modified | 2026-08-26T12:25:31.000Z |
Model README
---
library_name: peft
license: other
base_model: xummer/qwen3-8b-squad_translate-lora-ar
tags:
- base_model:adapter:Qwen/Qwen3-8B
- llama-factory
- lora
- transformers
- llama-cpp
- gguf-my-lora
metrics:
- accuracy
pipeline_tag: text-generation
model-index:
- name: ar
results: []
---
Abu-Dju/qwen3-8b-squad_translate-lora-ar-F32-GGUF
This LoRA adapter was converted to GGUF format from xummer/qwen3-8b-squad_translate-lora-ar via the ggml.ai's GGUF-my-lora space.
Refer to the original adapter repository for more details.
Use with llama.cpp
# with cli
llama-cli -m base_model.gguf --lora qwen3-8b-squad_translate-lora-ar-f32.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora qwen3-8b-squad_translate-lora-ar-f32.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
Run Abu-Dju/qwen3-8b-squad_translate-lora-ar-F32-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models