Ma7ee7/Qwen3.5-2B-Agent-GGUF overview
Qwen3.5 2B Agent GGUF GGUF conversion of Ma7ee7/Qwen3.5 2B Agent https://huggingface.co/Ma7ee7/Qwen3.5 2B Agent for llama.cpp compatible applications. The mult…
Runs locally from ~347.8 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3.5-2B-Agent-BF16.gguf | GGUF | BF16 | 3.63 GB | Download |
| Qwen3.5-2B-Agent-Q4_K_M.gguf | GGUF | Q4_K_M | 1.22 GB | Download |
| Qwen3.5-2B-Agent-Q5_K_M.gguf | GGUF | Q5_K_M | 1.35 GB | Download |
| Qwen3.5-2B-Agent-Q6_K.gguf | GGUF | Q6_K | 1.50 GB | Download |
| Qwen3.5-2B-Agent-Q8_0.gguf | GGUF | Q8_0 | 1.93 GB | Download |
| mmproj-Qwen3.5-2B-Agent-Q8_0.gguf | GGUF | Q8_0 | 347.8 MB | Download |
Model Details
| Model ID | Ma7ee7/Qwen3.5-2B-Agent-GGUF |
|---|---|
| Author | Ma7ee7 |
| Pipeline | image-text-to-text |
| License | apache-2.0 |
| Base model | Ma7ee7/Qwen3.5-2B-Agent |
| Last modified | 2026-07-25T17:41:58.000Z |
Model README
---
base_model: Ma7ee7/Qwen3.5-2B-Agent
library_name: gguf
pipeline_tag: image-text-to-text
tags:
- gguf
- llama.cpp
- qwen3.5
- agent
license: apache-2.0
---
Qwen3.5-2B-Agent GGUF
GGUF conversion of Ma7ee7/Qwen3.5-2B-Agent for
llama.cpp-compatible applications.
The multimodal projector is included as mmproj-Qwen3.5-2B-Agent-Q8_0.gguf.
Converted with llama.cpp commit 720d7fa4097f76e5d0eade5a92c1df87c1faf9d9.
Files
| File | Size | Description |
|---|---:|---|
| Qwen3.5-2B-Agent-BF16.gguf | 3.63 GiB | High-fidelity source GGUF for archival use or requantization. |
| Qwen3.5-2B-Agent-Q8_0.gguf | 1.93 GiB | Near-original quality with moderate compression. |
| Qwen3.5-2B-Agent-Q6_K.gguf | 1.50 GiB | Very high quality with lower memory use than Q8_0. |
| Qwen3.5-2B-Agent-Q5_K_M.gguf | 1.35 GiB | Strong quality-to-size balance. |
| Qwen3.5-2B-Agent-Q4_K_M.gguf | 1.22 GiB | Recommended default for most local inference. |
| mmproj-Qwen3.5-2B-Agent-Q8_0.gguf | 347.77 MiB | Multimodal projector required for image input. |
Recommendation
Start with Q4_K_M. Use Q5_K_M or Q6_K when you have more memory and want
higher fidelity. Q8_0 is the largest quantized option in this repository.
llama.cpp
llama-cli -hf Ma7ee7/Qwen3.5-2B-Agent-GGUF:Q4_K_M -cnv --jinja
For image input, download the matching mmproj-*.gguf file and pass it with
--mmproj.
Run Ma7ee7/Qwen3.5-2B-Agent-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models