
Base model	0xSero/DeepSeek-V4-Flash-162B
Format	GGUF
Total params	162B
Active / token	—
Experts / layer	—
Layers	—
Hidden size	—
Context	—
On-disk size	149 GB

Which variant should I pick?

Variant	Format	Link
`DeepSeek-V4-Flash-162B`	BF16	link
`DeepSeek-V4-Flash-162B-GGUF` (this)	GGUF	link
`DeepSeek-V4-Flash-180B`	BF16	link
`DeepSeek-V4-Flash-180B-GGUF`	GGUF	link
`DeepSeek-V4-Flash-213B`	BF16	link

This repository contains DS4/DwarfStar GGUF conversions of DeepSeek-V4-Flash-Spark-Mini.

The GGUFs point back to the original Spark Hugging Face model:

Original Spark model: https://huggingface.co/0xSero/DeepSeek-V4-Flash-162B
Conversion source checkpoint: https://huggingface.co/0xSero/DeepSeek-V4-Flash-162B-codex-K144-REAP
Runtime/converter repo: https://github.com/antirez/ds4
Spark deployment repo: https://github.com/0xSero/deepseek-spark

Files

File	Size	SHA256
`DeepSeek-V4-Flash-Spark-Mini-Q2-REAP-ds4.gguf`	48.98 GiB	`e917278028d7a9e25dfc9d04bf5848375dad7573c5aeab1720d6a83714352406`

Quantization

Q2-REAP-ds4: compact DS4 profile using IQ2_XXS routed gate/up experts, Q2_K routed down experts, and Q8_0 shared/output/attention projections.

These are DS4/DwarfStar-specific GGUF files for DeepSeek-V4 Flash REAP checkpoints. They are not generic llama.cpp files unless your runtime supports the same DeepSeek-V4 Flash tensor layout and DS4 metadata.

Validation

Validation summaries are uploaded in this repo under:

validation/20260528T160633Z/SUMMARY.md
validation/20260528T160633Z/summary.json

The Mini Q2 GGUF completed the DS4 context sweep through 200000 context on one DGX Spark:

Context	Prefill tok/s	Decode tok/s	KV bytes
2,048	348.19	12.75	52,184,460
4,096	358.51	13.50	80,373,132
8,192	352.29	13.32	136,750,476
16,384	348.25	13.24	249,505,164
32,768	322.07	12.40	475,014,540
65,536	287.26	11.49	926,033,292
131,072	241.57	9.81	1,828,070,796
200,000	194.24	9.17	2,776,775,308

API probes completed through at least the 131072 window before spark-2822 became unreachable during the tail of the 200000 validation step:

Context	Prompt tokens	TTFT seconds	Prefill tok/s	Decode tok/s	Marker visible
65,536	59,867	176.54	339.12	13.01	true
131,072	119,696	390.59	306.45	11.70	true

This repo publishes the validated Q2 long-context profile only.

License & citation

License inherited from the base model.

bibtex

@misc{lasby2025reap,
  title  = {REAP the Experts: Why Pruning Prevails for One-Shot MoE Compression},
  author = {Mike Lasby and Ivan Lazarevich and Nish Sinnadurai and Sean Lie and Yani Ioannou and Vithursan Thangarasa},
  year   = {2025}, eprint = {2510.13999}, archivePrefix = {arXiv}
}

0xSero/DeepSeek-V4-Flash-162B-GGUF

DeepSeek-V4-Flash-162B-GGUF

At a glance

Which variant should I pick?

Files

Quantization

Validation

License & citation

Sponsors

0xSero/
DeepSeek-V4-Flash-162B-GGUF