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Pulsar's build of DeepSeek-v4-Flash, derived from
deepseek-ai/DeepSeek-V4-Flash-Vision-Exp
at revision
6821d6ad3681a4b137b066b76094fa82ebd0a380
.
This is the
unqualified
member of the family: the source-precision build.
Every routed expert is stored in
cutlass_mxfp4
, repacked from the upstream
checkpoint's own FP4 bytes — nothing is quantized down, and there is
no
iq2_xxs_mmq_k
tensor anywhere
. Variants that deviate from source precision
carry a suffix (
-IQ2
,
-Mix-…
); the bare name always means this one.
At ~168 GB it does not fit a single GB10. It is the artifact for a two-Spark
rig; the 2-bit build (
DeepSeek-v4-Flash-IQ2
, ~92 GB) is the single-Spark one.
Layout
Layout
Used by
Bytes
cutlass_mxfp4
main routed experts (43 layers × 256) and drafter experts (3 × 256)
per-expert E2M1 data then a swizzled E8M0 group-32 SF tile
mxfp8_lt
attention / dense / shared-expert projections
de-interleaved E4M3 then a swizzled E8M0 group-32 scale
fp8_e4m3_soa_k
one drafter head projection
E8M0 scale plane
[rows][cols/32]
then an E4M3 payload plane
Engine-layout tensors are stored as flat
U8
blobs. Each shard's
__metadata__
is self-describing:
pulsar.tensors
— per tensor:
layout
and
dims_ne
(the logical shape in
ggml
ne[]
order, which is the HF shape reversed; recorded for every tensor
so a reader never has to reason about orientation).
pulsar.experts
— per routed-expert projection:
n_experts
,
expert_bytes
,
layout
,
contiguous
, and the original stacked tensor name. The expert
tensors of a projection are written
back-to-back with no inter-expert
padding
, so a kernel can address them as
base + xid * expert_bytes
from a
single pointer.
pulsar.kv_arch
— the 53 architecture keys the engine reads.
pulsar.kv
(primary shard only) additionally carries the tokenizer block.
format
—
pt
, and
pulsar.alignment
—
32
. Every tensor offset is
aligned to 32 bytes, which the swizzled scale tiles depend on.
Sizes
component
upstream
this artifact
delta
routed-expert payloads
157.437 GB
157.437 GB
0
everything else
10.374 GB
10.529 GB
+155.2 MB
total
167.819 GB
167.979 GB
+0.09%
The expert payloads are byte-count identical — 157,437,394,944 B in both — and
a pure permutation: the upstream E2M1 nibble plane is copied verbatim and the
upstream E8M0 group-32 plane is scattered into the CUTLASS SFB swizzle. The
+155 MB is the dense scale plane:
mxfp8_lt
carries one E8M0 scale per
32
columns, where the upstream FP8 weight block is 128×128. That re-encode is
lossless to within E4M3 rounding on 0.0013% of dense elements (max |Δ| 1.5e-5).
Loading
This runs on
pulsar
only. Stock
transformers
/ vLLM cannot load it — they
have no decoder for the fused layouts, and
U8
blobs have no meaning without
the metadata above.
config.json
's
quantization_config.quant_method
is
pulsar-safetensors
precisely so a standard loader fails loudly instead of
misreading the bytes.
Verification
48 shards, 36,909 tensors, index closed both ways, gap-free, 32 B aligned,
exact file lengths.
138/138 routed-expert projections
cutlass_mxfp4
and contiguous.
Zero shards contain the substring
iq2
.
45/45 spot-checked expert blobs invert to the upstream E2M1+E8M0 bytes
exactly.
Non-expert tensors byte-identical to the base container (48/48 shard digests).
Dense values vs upstream: 83,326 of 6,304,038,912 elements differ, max |Δ|
1.5e-5.
See
BUILD-RECORD.md
for the full provenance and gate list.
Runs of ElytronAI DeepSeek-v4-Flash on huggingface.co
438
Total runs
3
24-hour runs
16
3-day runs
31
7-day runs
133
30-day runs
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