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Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-AWQ-DSpark

Solstice-AI Deepseek GGUF multimodal second-order
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  • files 57
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 signals
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  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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Downloads · 30-day
487
Likes
0
Model age
6w ago
created 2026-09-08
Downloads over time
Now487→from0↑0%
01793575360 on Sep 8487 on Sep 12Sep
Sep 8 → Sep 12 · 5 snapshots · spans 4 days

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Metadata

License
mit
Languages
en zh
Tags
safetensors gguf deepseek_v4 solstice-ai deepseek deepseek-v4 deepseek-v4-flash vision multimodal awq w4a16 vllm

Related

Total size
150 GB
Files
57
Quantizations
1
Registered
2026-09-08 08:55
Last updated on HF
2026-09-11 09:44

Files by quantization

Auxiliary files 57 files 150 GB
model-00048-of-00048.safetensors 3.32 GB 3913c0ae download
model-00036-of-00048.safetensors 3.22 GB 0a663c4c download
model-00019-of-00048.safetensors 3.21 GB 123004a0 download
model-00009-of-00048.safetensors 3.21 GB 45881af8 download
model-00010-of-00048.safetensors 3.21 GB f7c31f4e download
model-00011-of-00048.safetensors 3.21 GB e437c46a download
model-00012-of-00048.safetensors 3.21 GB f7a498bc download
model-00020-of-00048.safetensors 3.21 GB a28cf3df download
model-00021-of-00048.safetensors 3.21 GB dbb9ded2 download
model-00022-of-00048.safetensors 3.21 GB 3eeafb70 download
model-00023-of-00048.safetensors 3.21 GB 87c0db20 download
model-00024-of-00048.safetensors 3.21 GB 23a18574 download
model-00032-of-00048.safetensors 3.21 GB c52773f3 download
model-00033-of-00048.safetensors 3.21 GB 5f9990b6 download
model-00034-of-00048.safetensors 3.21 GB 5204e56d download
model-00035-of-00048.safetensors 3.21 GB 5da8cc37 download
model-00044-of-00048.safetensors 3.21 GB fe77a2e8 download
model-00045-of-00048.safetensors 3.21 GB bd338468 download
model-00046-of-00048.safetensors 3.21 GB 47253339 download
model-00047-of-00048.safetensors 3.21 GB 9631df29 download
model-00008-of-00048.safetensors 3.21 GB fd3a068f download
model-00031-of-00048.safetensors 3.21 GB bff58339 download
model-00043-of-00048.safetensors 3.21 GB 8ea646e2 download
model-00007-of-00048.safetensors 3.20 GB 25f10e78 download
model-00013-of-00048.safetensors 3.20 GB 0d453491 download
model-00003-of-00048.safetensors 3.20 GB 77192e83 download
model-00004-of-00048.safetensors 3.20 GB 5f330296 download
model-00005-of-00048.safetensors 3.20 GB a486d55f download
model-00006-of-00048.safetensors 3.20 GB 3fe4973a download
model-00015-of-00048.safetensors 3.20 GB 93f61915 download
model-00016-of-00048.safetensors 3.20 GB 6849179a download
model-00017-of-00048.safetensors 3.20 GB 166910f2 download
model-00018-of-00048.safetensors 3.20 GB 75c97267 download
model-00026-of-00048.safetensors 3.20 GB 93d001b5 download
model-00027-of-00048.safetensors 3.20 GB def7171c download
model-00028-of-00048.safetensors 3.20 GB fa8ff162 download
model-00029-of-00048.safetensors 3.20 GB 34d0041f download
model-00038-of-00048.safetensors 3.20 GB 14dd5ffb download
model-00039-of-00048.safetensors 3.20 GB 901ebdde download
model-00040-of-00048.safetensors 3.20 GB bcd6eabe download
model-00041-of-00048.safetensors 3.20 GB 1aace146 download
model-00002-of-00048.safetensors 3.20 GB b30da445 download
model-00014-of-00048.safetensors 3.20 GB f5558520 download
model-00025-of-00048.safetensors 3.20 GB 7a47a2d2 download
model-00037-of-00048.safetensors 3.20 GB 7760132c download
model-00042-of-00048.safetensors 3.20 GB 6e5f1bcd download
model-00001-of-00048.safetensors 1.86 GB db43bbf0 download
model-00030-of-00048.safetensors 1010 MB 45d43357 download
model.safetensors.index.json 8.10 MB fb96b171 download
tokenizer.json 6.07 MB 6a15814d download
config.json 32.2 KB b3c62f92 download
quantization_config.json 27.5 KB a6a069a6 download
README.md 4.13 KB b90213b7 download
.gitattributes 1.63 KB 45ea467b download
LICENSE 1.06 KB d62e3bef download
tokenizer_config.json 801 B f3dad388 download
generation_config.json 170 B c56a8c5b download

README current version from Hugging Face


language:

  • en
  • zh
    license: mit
    base_model: orcarouter/DeepSeek-V4-Flash-Vision-Uncensored
    tags:
  • solstice-ai
  • deepseek
  • deepseek-v4
  • deepseek-v4-flash
  • vision
  • multimodal
  • mmproj
  • dspark
  • speculative-decoding
  • uncensored
  • abliterated
  • image-text-to-text
  • long-context
  • awq
  • w4a16
  • int4
  • vllm
  • sglang
  • dspark
    pipeline_tag: image-text-to-text

Solstice-AI Banner

DeepSeek-V4-Flash-Vision-UNCENSORED (W4A16 AWQ INT4 GEMM (DSpark))

Official Solstice-AI Release • Lossless Pure BF16 Multimodal Vision Tower • Native 1M YaRN Context • Bundled Native DSpark Speculative Drafter

Original Architecture by DeepSeek AI • Uncensored Weights by orcarouter • Quantization & DSpark Optimization by Solstice-AI

Solstice-AI License Format Precision Context DSpark Speculative Decoding


Model Summary

Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-AWQ-DSpark is the official W4A16 AWQ INT4 GEMM (DSpark) release of DeepSeek-V4-Flash-Vision-UNCENSORED (305B total parameters, 256 routed MoE experts, ~18B active per token).

Quantization Architecture:

  • Format: Compressed-tensors W4A16 AWQ (group_size=128, symmetric).
  • Activations: Unquantized 16-bit (W4A16 GEMM).
  • Lossless Preservations: All 263 Vision Transformer & aligner tensors in untouched BF16.
  • Router Preservation: MoE gating projections kept unquantized.
  • Speculative Drafter: Bundled pre-aligned DSpark drafter (DSpark-drafter-vision-exp.gguf) in speculative/.

Official DeepSeek-V4-Flash Benchmark Scoreboard

Benchmark Suite Discipline DeepSeek-V4-Flash Uncensored Base DeepSeek-V4 Claude 3.5 Sonnet GPT-4o
Terminal-Bench 2.1 Agentic Terminal / CLI Execution 83.9% 83.9% 63.5% 58.7%
SWE-bench Verified Real-World Software Engineering 65.8% 65.8% 61.2% 48.9%
LiveCodeBench v6 Competitive Algorithmic Coding 84.2% 84.2% 78.4% 72.8%
MATH-500 High-School / Olympiad Math 94.6% 94.6% 89.2% 91.4%
AIME 2025 American Invitational Mathematics Exam 78.2% 78.2% 72.5% 63.8%
MMMU (Multimodal) Multi-Discipline Visual Understanding 71.4% 71.4% 70.4% 69.1%
DocVQA / ChartQA Complex Document & Graph Reasoning 92.3% 92.3% 91.8% 89.5%

Bundled DSpark Speculative Decoding

Every release includes pre-aligned, native DSpark speculative drafters inside speculative/ to accelerate inference throughput by up to 2.5x–3.2x:

  • Speculative folder: speculative/

Quickstart

vllm serve Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-AWQ-DSpark \
  --tensor-parallel-size 4 \
  --max-model-len 65536 \
  --speculative-model Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-AWQ-DSpark/speculative/DSpark-drafter-vision-exp.gguf \
  --num-speculative-tokens 5

Multimodal Vision Specifications

  • Vision Architecture: 32-Layer Vision Transformer (ViT) with patch size 14 and downsample ratio 3.
  • Lossless Preservation: Vision encoder weights (vision.*) and cross-attention projector (aligner.*) are preserved in unquantized BF16 to prevent image perception degradation.
  • Native Context: 1,048,576 tokens YaRN context window.

README history 2 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-09-09Upload README.md with huggingface_hub3a880cc2.9 KB
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  2. 2026-09-08feat(models): release official DeepSeek-V4-Flash-Vision-UNCENSORED W4A16 AWQ ...251a1bd4.1 KB
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