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Qwen3-4B-Base-imatrix-GGUF
liodon-ai/Qwen3-4B-Base-imatrix-GGUF
Qwen3-4B-Base-imatrix-GGUF is a text generation model from liodon-ai. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as other.
GGUF quantizations of Qwen/Qwen3-4B-Base, published by Liodon AI.
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Repo size
18.7 GB
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Repo makeup
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.gguf18.7 GB · 100%
At a glance
- Task
- Text Generation
- Library
- gguf
- License
- other
- Access
- Public
- Created
- Jul 11, 2026
- Updated
- Jul 13, 2026
- SHA
- c746bf9f
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Base models
Model card
From the Hugging Face model README
Qwen3-4B-Base — iMatrix GGUF
GGUF quantizations of Qwen/Qwen3-4B-Base, published by Liodon AI.
Quick Start
llama.cpp
llama-cli -hf liodon-ai/Qwen3-4B-Base-imatrix-GGUF:Q4_K_M
Ollama
ollama run hf.co/liodon-ai/Qwen3-4B-Base-imatrix-GGUF:Q4_K_M
LM Studio / Jan — search liodon-ai/Qwen3-4B-Base-imatrix-GGUF and pick your quant.
Quants
| Quant | Size | VRAM est. | Notes |
|---|---|---|---|
IQ2_M | 1.51 GB | ~2 GB | 2-bit, iMatrix — smallest usable |
IQ3_M | 1.96 GB | ~2 GB | 3-bit, iMatrix — great quality/size tradeoff |
IQ4_XS | 2.27 GB | ~3 GB | 4-bit extra-small, iMatrix |
Q4_K_M | 2.50 GB | ~3 GB | 4-bit, iMatrix-calibrated (recommended) |
Q5_K_M | 2.89 GB | ~3 GB | 5-bit, iMatrix-calibrated |
Q6_K | 3.31 GB | ~4 GB | 6-bit, iMatrix-calibrated, near-lossless |
Q8_0 | 4.28 GB | ~5 GB | 8-bit, essentially lossless |
What is iMatrix?
Standard quantization treats all weights equally. iMatrix runs 128 calibration chunks through the full-precision model to find which weights matter most, then allocates more precision where it counts. At Q2/Q3/Q4 this means noticeably better coherence and instruction-following — same file size, better output.
Calibration: 2M tokens of WikiText-103.
Also see plain (non-iMatrix) quants:
liodon-ai/Qwen3-4B-Base-GGUF
Source
- Model: Qwen/Qwen3-4B-Base
- License: other
Quantized by Liodon AI
- Task
- Text Generation
- Library
- gguf
- License
- other
- Created
- Jul 11, 2026
- Updated
- Jul 13, 2026