MaziyarPanahi / text-generation updated 1 year ago

Qwen3-8B-GGUF

Name: Qwen3-8B-GGUF
Author: MaziyarPanahi

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.

Params

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Context

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Downloads 30d

171 K

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Licence: unknown Not gated GGUF View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (6 recorded)

171 K downloads in the last 30 days

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
Qwen3-8B.Q2_K.gguf	Q2_K	3.3 GB	4.1 GB	✅ Runs comfortably
Qwen3-8B.Q3_K_M.gguf	Q3_K_M	4.1 GB	5.0 GB	✅ Runs comfortably
Qwen3-8B.Q3_K_L.gguf	Q3_K_L	4.4 GB	5.4 GB	✅ Runs comfortably
Qwen3-8B.Q4_K_M.gguf	Q4_K_M	5.0 GB	6.0 GB	✅ Runs comfortably
Qwen3-8B.Q5_K_M.gguf	Q5_K_M	5.9 GB	6.9 GB	✅ Runs comfortably
Qwen3-8B.Q6_K.gguf	Q6_K	6.7 GB	7.9 GB	✅ Runs comfortably
Qwen3-8B.fp16.gguf	GGUF	16.4 GB	18.5 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

copy-paste, exact tags checked against the Hub

~ · ollama · Q4_K_M

$ ollama run qwen3-8b-gguf-maziyarpanahi

# pin the quantization explicitly
$ ollama run qwen3-8b-gguf-maziyarpanahi-q4_k_m

est. VRAM 6.0 GBon RTX 4090 · 24 GBJSON API →

Base model and the most-downloaded derivatives in the catalog.

Appears in

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