unsloth/Qwen3.8-27B-GGUF
Same weights, converted vs Qwen/Qwen3.8-27B. Same weights stored in another dtype (BF16 → BF16/F32), plus 63 new tensors.
Tensors changed: Norms 0/161, MLP 0/192, Attention 0/64, Embeddings 0/1, lm_head 0/1
18 derivatives checked
- meshllm/Qwen3.8-27B-UD-Q4_K_XL-layers: Quantization (fewer layers)
- jrell/Qwen3.8-27B-i1-IQ4_XS-GGUF-Smaller: Quantization
- jpetrina/Qwen3.8-27B-MTP-IQ4_XS-pure-GGUF: Quantization
- studiomaveric/Qwen3.8-27B-UD-Q8_K_XL-layers-v0762: Quantization (fewer layers)
- studiomaveric/Qwen3.8-27B-UD-Q8_K_XL-layers: Quantization (fewer layers)
- mcham/Qwen3.8-27B-padthai-gguf: Quantization (fewer layers)
- rcmorano/Qwen3.8-27B-ROCMFPX: Same weights, repacked
- oolfBER/Qwen3.8-27B-UD-Q4_K_XL-single-GGUF: Quantization
- jpetrina/Qwen3.8-27B-IQ4_XS-pure-GGUF: Quantization
- ISTA-DASLab/Qwen3.8-27B-NVFP4-prefiller: Different architecture
- runanywhere/qwen3_8_27b_HNPU: Quantization
- Valexiem/Qwen3.8-27B-Fast60L-Voodoo-GGUF: Full fine-tune
- Kindadodgy/qwen38-256k-on-16gb: Quantization
- Oleksandrovych/Qwen3.8-27B-UD_Edition-Q3_K_XL-NOMTP: Quantization
- mkopec12/Qwen3.8-27B-i1-IQ4_XS-GGUF-Smaller: Quantization
- gzbx/Qwen3.8-27B-i1-IQ4_XS-GGUF-Smaller: Quantization
- aitups/Qwen3.8-27B-saor: Quantization
- Blazestorm001/Qwen3.8-27B-ASCII-Condensed-UD-Q3_K_XL-GGUF: Quantization