kirilldual0987/MIXdevAI-gemma3-4B-GGUF overview
MIXdevAI gemma3 4B GGUF Full set of GGUF quantizations for Kolyadual/MIXdevAI gemma3 4B https://huggingface.co/Kolyadual/MIXdevAI gemma3 4B . Based on the Gemm…
Runs locally from ~1.62 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| mixdev-gemma3-f16.gguf | GGUF | F16 | 7.24 GB | Download |
| mixdev-gemma3-q2_k.gguf | GGUF | Q2_K | 1.62 GB | Download |
| mixdev-gemma3-q3_k_l.gguf | GGUF | Q3_K_L | 2.09 GB | Download |
| mixdev-gemma3-q3_k_m.gguf | GGUF | Q3_K_M | 1.96 GB | Download |
| mixdev-gemma3-q3_k_s.gguf | GGUF | Q3_K_S | 1.81 GB | Download |
| mixdev-gemma3-q4_0.gguf | GGUF | Q4_0 | 2.21 GB | Download |
| mixdev-gemma3-q4_1.gguf | GGUF | Q4_1 | 2.40 GB | Download |
| mixdev-gemma3-q4_k_m.gguf | GGUF | Q4_K_M | 2.33 GB | Download |
| mixdev-gemma3-q4_k_s.gguf | GGUF | Q4_K_S | 2.22 GB | Download |
| mixdev-gemma3-q5_0.gguf | GGUF | Q5_0 | 2.58 GB | Download |
| mixdev-gemma3-q5_1.gguf | GGUF | Q5_1 | 2.77 GB | Download |
| mixdev-gemma3-q5_k_m.gguf | GGUF | Q5_K_M | 2.64 GB | Download |
| mixdev-gemma3-q5_k_s.gguf | GGUF | Q5_K_S | 2.58 GB | Download |
| mixdev-gemma3-q6_k.gguf | GGUF | Q6_K | 2.98 GB | Download |
| mixdev-gemma3-q8_0.gguf | GGUF | Q8_0 | 3.85 GB | Download |
Model Details
| Model ID | kirilldual0987/MIXdevAI-gemma3-4B-GGUF |
|---|---|
| Author | kirilldual0987 |
| Pipeline | text-generation |
| License | gemma |
| Base model | Kolyadual/MIXdevAI-gemma3-4B |
| Last modified | 2026-07-04T23:06:33.000Z |
Model README
---
license: gemma
base_model: Kolyadual/MIXdevAI-gemma3-4B
tags:
- gguf
- gemma3
- llama.cpp
- text-generation
---
MIXdevAI-gemma3-4B-GGUF
Full set of GGUF quantizations for Kolyadual/MIXdevAI-gemma3-4B.
Based on the Gemma 3 architecture.
Files
| File | Quantization | Type |
|---|---|---|
| mixdev-gemma3-f16.gguf | F16 | Base Model |
| mixdev-gemma3-q8_0.gguf | Q8_0 | Text Model |
| mixdev-gemma3-q6_k.gguf | Q6_K | Text Model |
| mixdev-gemma3-q5_k_m.gguf | Q5_K_M | Text Model |
| mixdev-gemma3-q5_k_s.gguf | Q5_K_S | Text Model |
| mixdev-gemma3-q5_1.gguf | Q5_1 | Text Model |
| mixdev-gemma3-q5_0.gguf | Q5_0 | Text Model |
| mixdev-gemma3-q4_k_m.gguf | Q4_K_M | Text Model |
| mixdev-gemma3-q4_k_s.gguf | Q4_K_S | Text Model |
| mixdev-gemma3-q4_1.gguf | Q4_1 | Text Model |
| mixdev-gemma3-q4_0.gguf | Q4_0 | Text Model |
| mixdev-gemma3-q3_k_l.gguf | Q3_K_L | Text Model |
| mixdev-gemma3-q3_k_m.gguf | Q3_K_M | Text Model |
| mixdev-gemma3-q3_k_s.gguf | Q3_K_S | Text Model |
| mixdev-gemma3-q2_k.gguf | Q2_K | Text Model |
Quantization notes
- Q8_0 / F16: Almost lossless. Best quality, largest size.
- Q6_K / Q5_K_M: Excellent balance between quality and size.
- Q4_K_M: Golden standard for local inference.
- Q3_K_M / Q2_K: Noticeable quality degradation. Use only if you have severe RAM/VRAM constraints.
How to run locally
Example using llama.cpp server:
llama-server \
-m mixdev-gemma3-q4_k_m.gguf \
-ngl 999 \
--host 0.0.0.0 --port 8080 \
-c 32768Run kirilldual0987/MIXdevAI-gemma3-4B-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models