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Gorilla4X/Quacken-8B-FP8
Quacken-8B-FP8 is a text generation model from Gorilla4X. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as apache-2.0.
Native fp8 E4M3 GGUF of Qwen3-8B for AMD RDNA4 (gfx1201 - Radeon AI PRO R9700 / RX 9070 / 9070 XT / W-series), quantized with AMD Quark from the full-precision BF16 weights by The Rock8.
Downloads · 30 days
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From the Hugging Face model README
Native fp8 E4M3 GGUF of Qwen3-8B for AMD RDNA4 (gfx1201 - Radeon AI PRO R9700 / RX 9070 / 9070 XT / W-series), quantized with AMD Quark from the full-precision BF16 weights by The Rock8.
This is not a dequant-to-f16 shim: The Rock8's llama.cpp fork runs fp8 on RDNA4's
native WMMA fp8 tensor cores for prefill and v_dot4_f32_fp8_fp8 for decode.
No-compromise quality-per-byte 8-bit.
F8E4M3), block-scaled, produced by AMD Quark from BF16.Qwen3-8B-Quark-F8E4M3.gguf (9.2 GB).| Metric | Value |
|---|---|
| Perplexity (wikitext, 20 chunks, n_ctx=512) | 10.93 |
Prefill pp512 | 4688 t/s |
Decode tg128 | 58.0 t/s |
| Coherence check ("dried grape" -> "raisin") | Pass |
Benched on a single R9700 (gfx1201).
# chat
llama-cli -m Qwen3-8B-Quark-F8E4M3.gguf -ngl 99 -p "What do you call a dried grape? Answer in one word."
# bench
llama-bench -m Qwen3-8B-Quark-F8E4M3.gguf -ngl 99 -p 512 -n 128
podman run -d --rm --runtime crun --name lemonade \
--device /dev/kfd --device /dev/dri \
--group-add keep-groups --security-opt seccomp=unconfined \
-v /path/to/quacken-8b:/models:ro \
-e MODEL=/models/Qwen3-8B-Quark-F8E4M3.gguf -e MODEL_NAME=Quacken-8B-FP8 \
-e HIP_VISIBLE_DEVICES=0 -p 13305:13305 \
ghcr.io/the-monk/the-rock8:rdna4-tr713 serve
curl -s http://localhost:13305/api/v1/chat/completions -H 'Content-Type: application/json' \
-d '{"model":"user.Quacken-8B-FP8","messages":[{"role":"user","content":"What do you call a dried grape? Answer in one word. /no_think"}],"max_tokens":16}'
Container (same image on each registry; --runtime crun is required for GPU):
ghcr.io/the-monk/the-rock8:rdna4-tr713 - docker.io/gorilla4x/the-rock8:rdna4-tr713 - quay.io/the-monk/the-rock8:rdna4-tr713
(images may not be pushed to every registry yet).
Every artifact links to the others - land on any one, reach them all.