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edp1096/Huihui-Qwen3.8-Flash-Next-abliterated-FP4-Local

edp1096 GGUF multimodal
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Abliteration classifier · v1.0.0
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created 2026-10-16

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Metadata

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other
Tags
vllm safetensors qwen4_exp nvfp4 mxfp8 modelopt abliterated qwen3.8 image-text-to-text conversational base_model:huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF base_model:quantized:huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF

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Total size
0 B
Files
15
Quantizations
1
Registered
2026-10-16 17:59
Last updated on HF
2026-10-16 17:17

Files by quantization

Auxiliary files 15 files 70.9 MB
model.safetensors.index.json 45.1 MB 5fa166bb download
tokenizer.json 12.2 MB 0997f410 download
vocab.json 6.41 MB 0aa0ce06 download
source-audit.json 3.81 MB 6cedc990 download
merges.txt 3.20 MB a494e019 download
transfer-manifest.json 97.3 KB fc866ad4 download
config.json 73.5 KB 1efa9baa download
tokenizer_config.json 17.5 KB 5de744b3 download
runtime-qualification.json 12.2 KB 28bd1e56 download
chat_template.jinja 8.74 KB c0c686f9 download
README.md 2.47 KB b76cfbee download
.gitattributes 1.60 KB aa7aacd0 download
preprocessor_config.json 390 B 2ea84a43 download
video_preprocessor_config.json 385 B 3ba673a5 download
generation_config.json 202 B 023756cf download

README current version from Hugging Face


base_model:


Huihui-Qwen3.8-Flash-Next-abliterated-FP4-Local

NVIDIA FP4-Local with the audited Huihui v2 changes transferred from matched Unsloth/Huihui Q8_0 weights. Changed projections are reconstructed, updated, rounded to BF16 and encoded as MXFP8. Routed NVFP4 experts and their CSF scales, PLE, MTP, vision and tokenizer retain the NVIDIA checkpoint bytes.

See transfer-manifest.json for pinned sources, changed tensors and quantization errors, and source-audit.json for the complete source comparison. Runtime results are recorded separately in runtime-qualification.json when available.

Sources: NVIDIA FP4-Local, Huihui v2, Unsloth Q8. The NVIDIA Open Model Agreement and the base model's Qwen Community License apply.

Local GPU qualification

The checkpoint was tested on DGX Spark with the pinned B12X runtime and factor-4 YaRN overlay recorded in runtime-qualification.json. Both the NVIDIA baseline and this checkpoint completed the actual 1,048,056-token two-field retrieval test and the following short request. Code execution, structured JSON, tool calls and the image smoke test passed.

One candidate check failed: the reasoning answer was correctly 445, but the final response included equations despite an integer-only instruction. Accordingly, the manifest keeps runtime_validated: false and records runtime_tested: true; the result is completed with findings, not an all-checks pass. Both variants also show prose-quality limitations in the limited samples and use additional swap during startup.

The full comparison and generated responses are in runtime-qualification.json and qualification/. The reproducible runtime patches are in qualification/runtime/. These measurements do not establish broad benchmark parity or donor refusal-rate equivalence. This is quantized delta transfer, with no new QAD training or activation calibration.

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