AtomicChat/DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-GGUF
text-generation model by AtomicChat
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Model card & documentation
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ISTA-DASLab's GSQ-RCO quantizations of DeepSeek-V4.1-Flash-1017 (763B, 384 experts) with DeepSeek's refusal direction projected out of the dense residual writers — the same edit as AtomicChat/DeepSeek-V4.1-Flash-1017-Uncensored-GGUF, measured on every rung. Built by the team behind Atomic Chat, the app that runs open-weight models locally and offline. with only the residual-writing dense tensors replaced: attention output (attnoutputb), the shared-expert down projection (ffndownshexp) and the Engram value projection (engramwkv). The routed experts are left exactly as ISTA shipped them, so GSQ's learned low-bit rounding of the experts is preserved byte for byte, and each file stays the same size and runs wherever the original runs. precision and quantized to ISTA's exact per-tensor type. memory and the shared Engram table streams from an SSD, so a 763B model fits a consumer machine. Both files served on Strata, same prompts and template; "→" reads the stock GSQ-RCO rung → this one. KL is the edit's…
Read the full model card ↗ · Preview checked 2026-11-01T06:49:37.890Z
Inside the original model card — Document outline
- DeepSeek-V4.1-Flash-1017 Without Refusals · GSQ-RCO
- What changed and what did not
- Reasoning is preserved
- Running it
- Limitations
- Responsible use
- Credits and license
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Model overview
AtomicChat/DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-GGUF is a text-generation model repository published by AtomicChat on Hugging Face. The source reports the gguf library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- gguf
- Recent downloads (30 days)
- 9,718
- Cumulative likes
- 106
- Hugging Face trending score
- 103
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-28T04:48:45.000Z
- Last modified
- 2026-10-31T07:29:05.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF, deepseek-ai/DeepSeek-V4.1-Flash-1017
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.