DeepSeek V4.1 Flash for the Lucebox engine (ROCMFP block formats)
Lucebox builds of DeepSeek V4.1 Flash for the Lucebox DS4.1 engine
(AMD R9700 + Strix Halo). Routed experts in the engine's ROCMFP block
formats; attention, shared experts and head in Q8_0; both Engram tables
embedded. Calibrated with the published 262,144-token imatrix
(smalinin/DeepSeek-V4.1-Flash-GGUF, converted in imatrix/).
| file | routed experts | expert bytes | KL top-256 vs teacher | top-1 | ppl |
|---|---|---|---|---|---|
| teacher (fp4 checkpoint) | 269 GiB | 0 | 100% | 8.45 | |
| antirez Q2 (IQ2_XXS / Q2_K) | 142 GiB | 0.260 | 78.3% | 9.71 | |
DeepSeek-V4.1-Flash-ROCMFP23.gguf |
fp2 gate/up, fp3 down | 179 GiB | 0.272 | 77.9% | 9.80 |
DeepSeek-V4.1-Flash-ROCMFP2S.gguf |
fp2s everywhere | 158 GiB | 0.266 | 77.7% | 9.59 |
DeepSeek-V4.1-Flash-ROCMFP2S-MIX10.gguf |
fp2s, fp3 down on layers 0-9 | 164 GiB | 0.246 | 78.3% | 9.45 |
Formats: Q2_0_ROCMFP2 (ggml type 107, 10 bytes per 32 weights, 2.5 bits,
codebook {-1, 0, 1, 2} x a ue4m3 scale per 16 weights), Q3_0_ROCMFPX
(type 104, 14 bytes per 32, 3.5 bits). fp2s files use type 107 with bit
7 of a half-block's scale byte meaning "mirror the codebook"; a reader that
ignores that bit produces garbage, so use an engine build that honors it.
KL is measured on 8,184 held-out fineweb-edu tokens against the unquantized
model through the same reference forward pass (eval/ holds the teacher
log-probs and the tokens). Recipe, converter patches and harness:
Lucebox repo, lucebox_training/quantization.
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We're not able to determine the quantization variants.
Model tree for Lucebox/DeepSeek-V4.1-Flash-ROCMFP23-GGUF
Base model
deepseek-ai/DeepSeek-V4.1-Flash