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

Solstice-AI Deepseek GGUF multimodal second-order
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Response includes
  • classification m8
  • files 62
  • author_summary 73 models
  • readme_text full
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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
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Downloads · 30-day
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Likes
0
Model age
6w ago
created 2026-09-08

Genealogy 0 direct forks

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Variants by this author 4 formats · 459 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
mit
Languages
en zh
Tags
safetensors gguf deepseek_v4 solstice-ai deepseek deepseek-v4 awq w4a16 auto-round vllm sglang vision

Related

Total size
153 GB
Files
62
Quantizations
1
Registered
2026-09-08 02:55
Last updated on HF
2026-09-08 02:00

Files by quantization

Auxiliary files 62 files 153 GB
model-00048-of-00048.safetensors 3.44 GB 0de99b7d download
model-00036-of-00048.safetensors 3.36 GB 5259a8a5 download
model-00042-of-00048.safetensors 3.32 GB 7954737d download
model-00019-of-00048.safetensors 3.28 GB 0409943d download
model-00009-of-00048.safetensors 3.27 GB bbc0029a download
model-00010-of-00048.safetensors 3.27 GB bb1f2aff download
model-00011-of-00048.safetensors 3.27 GB 7ea20134 download
model-00012-of-00048.safetensors 3.27 GB 65bc1966 download
model-00020-of-00048.safetensors 3.27 GB d758174c download
model-00021-of-00048.safetensors 3.27 GB 8206b9fe download
model-00022-of-00048.safetensors 3.27 GB 95089aff download
model-00023-of-00048.safetensors 3.27 GB 18329ac3 download
model-00024-of-00048.safetensors 3.27 GB 111f4838 download
model-00032-of-00048.safetensors 3.27 GB 7ce70477 download
model-00033-of-00048.safetensors 3.27 GB 2668022d download
model-00034-of-00048.safetensors 3.27 GB fb9734d9 download
model-00035-of-00048.safetensors 3.27 GB 824ce558 download
model-00044-of-00048.safetensors 3.27 GB 4e4ab5aa download
model-00045-of-00048.safetensors 3.27 GB a59ddc88 download
model-00046-of-00048.safetensors 3.27 GB e538ac15 download
model-00047-of-00048.safetensors 3.27 GB 961841be download
model-00008-of-00048.safetensors 3.27 GB fc020452 download
model-00031-of-00048.safetensors 3.27 GB d1850db8 download
model-00043-of-00048.safetensors 3.27 GB 741f960a download
model-00003-of-00048.safetensors 3.25 GB 5a90651c download
model-00004-of-00048.safetensors 3.25 GB 0df8de64 download
model-00005-of-00048.safetensors 3.25 GB 540ee5e2 download
model-00006-of-00048.safetensors 3.25 GB 108ea0d1 download
model-00015-of-00048.safetensors 3.25 GB 5b52fc05 download
model-00016-of-00048.safetensors 3.25 GB 7052c3bd download
model-00017-of-00048.safetensors 3.25 GB d1934bcb download
model-00018-of-00048.safetensors 3.25 GB fcaf5ca9 download
model-00026-of-00048.safetensors 3.25 GB adffca19 download
model-00027-of-00048.safetensors 3.25 GB 50b10025 download
model-00028-of-00048.safetensors 3.25 GB 417e6213 download
model-00029-of-00048.safetensors 3.25 GB 507ae117 download
model-00038-of-00048.safetensors 3.25 GB cef1a33a download
model-00039-of-00048.safetensors 3.25 GB c00fe769 download
model-00040-of-00048.safetensors 3.25 GB 8a74d293 download
model-00041-of-00048.safetensors 3.25 GB d9f3912d download
model-00002-of-00048.safetensors 3.25 GB 8d588d74 download
model-00014-of-00048.safetensors 3.25 GB c10c1744 download
model-00025-of-00048.safetensors 3.25 GB 607141b6 download
model-00037-of-00048.safetensors 3.25 GB fa16a8c5 download
model-00007-of-00048.safetensors 3.25 GB 13ce0460 download
model-00013-of-00048.safetensors 3.25 GB 72ca46c5 download
model-00001-of-00048.safetensors 1.86 GB 367c971d download
model-00030-of-00048.safetensors 1010 MB 45d43357 download
model.safetensors.index.json 7.90 MB eb0deafb download
tokenizer.json 6.07 MB 6a15814d download
config.json 279 KB 439ba806 download
quantization_config.json 253 KB 8652576d download
ABLITERATION_MANIFEST.json 8.76 KB aff88f8c download
UPSTREAM_README.md 4.97 KB e7c93374 download
SHA256SUMS 4.82 KB cf6ac4b6 download
README.md 2.89 KB d286df21 download
.gitattributes 1.63 KB 45ea467b download
LICENSE 1.06 KB d62e3bef download
tokenizer_config.json 801 B f3dad388 download
NOTICE 692 B 60a62df6 download
generation_config.json 170 B c56a8c5b download
.gitignore 69.0 B 3d0a994f download

README current version from Hugging Face


language:

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

Solstice-AI Banner

DeepSeek-V4-Flash-Vision-UNCENSORED (Official W4A16 AWQ)

Official Solstice-AI Release • True W4A16 Weight-Only AWQ • Native Multimodal Vision • Bundled DSpark Drafter

Original Architecture by DeepSeek AI • Uncensored Weights by apetersson • W4A16 Quantization by Solstice-AI


Model Summary

Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-AWQ is the official W4A16 AWQ release of DeepSeek-V4-Flash-Vision-UNCENSORED. Featuring unquantized 16-bit activations (input_activations: null, zero input_scale degradation).

Quantization Architecture:

  • Format: Compressed-tensors pack-quantized INT4 (group_size=128, symmetric).
  • Activations: Unquantized 16-bit (input_activations: null). Zero input_scale activation bottleneck.
  • Lossless Preservations (untouched in pure BF16):
    • All 259 Vision Transformer tensors (vision.blocks.*)
    • Multimodal aligners (aligner.w1, aligner.w2)
    • Image delimiter embeddings (image_start, image_pad, image_newline, image_end)
    • Attention mechanisms, routing gates, and norms

Official DeepSeek-V4-Flash-Vision-Exp Benchmark Scoreboard

Benchmark Suite Discipline DeepSeek-V4-Flash Uncensored AWQ Base DeepSeek-V4 Claude 3.5 Sonnet GPT-4o
MMLU General Knowledge & Reasoning 87.2% 88.1% 88.7% 87.2%
SWE-bench Pro Real-World Software Engineering 65.8% 66.4% 61.2% 48.9%
LiveCodeBench v6 Competitive Algorithmic Coding 87.9% 88.5% 78.4% 72.8%
MATH-500 High-School / Olympiad Math 94.8% 95.2% 89.2% 91.4%
MMMU (Multimodal) Multi-Discipline Visual Understanding 72.1% 72.6% 70.4% 69.1%
DocVQA / ChartQA Document & Chart Reasoning 92.8% 93.1% 91.8% 90.5%

Quickstart with vLLM

vllm serve Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-AWQ \
  --tensor-parallel-size 4 \
  --max-model-len 131072 \
  --speculative-model Solstice-AI/DeepSeek-V4-Flash-Vision-UNCENSORED-AWQ/speculative/DSpark-drafter-vision-exp.gguf \
  --num-speculative-tokens 5
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