Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-NVFP4

NVFP4 checkpoint of DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU. NVFP4 here means W4A16 with FP8 scales, group size 16, weight only. Linear layers are NVFP4, vision tower, linear attention path, lm_head and MTP head are kept in BF16 at the source. No calibration data was used. This matches the pattern used for other Qwen3.8 Cold Fusion NVFP4 builds.

HF repo: esatapedico/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-NVFP4 GGUF family: esatapedico/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-NVFP4-GGUF (6 tiers, see the GGUF model card)

At a glance

Field	Value
Format	`compressed-tensors` `nvfp4-pack-quantized`
Quantization	W4A16, group size 16, FP8 E4M3 scales, weight only
Kept in BF16	vision tower, linear attention path, lm_head, embeddings, MTP head
Calibration	none
Base	`DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU` (Qwen3.8-27B, Apache 2.0)

Quantized set covers MLP on all 64 layers plus Q, K, V, O on the 16 full attention layers. The DeltaNet path stays BF16 in this checkpoint and is normalized to NVFP4 in the GGUF tier builds (448 tensor backbone).

Checkpoint

Single model.safetensors about 26 GB
config.json quantization_config.format=nvfp4-pack-quantized, quant_method=compressed-tensors, Qwen3_5ForCausalLM, 64 layers, hybrid GatedDeltaNet, 262144 context, MTP head
tokenizer.json intact, chat template intact
NVFP4 tensors verified via metadata checks

Provenance

Derivative of DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU (Apache 2.0) which itself derives from Qwen/Qwen3.8-27B. See the GGUF model card for full attribution. This checkpoint is the source for the GGUF family, which contains 1,122 tensors per file with a shared 448 tensor NVFP4 backbone.

License

apache-2.0

Card written with AI assistance.