Qwen3.8 Flash Next Heretic LoRA is an open-source language model by nchapman. Features: LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.
| LLM Name | Qwen3.8 Flash Next Heretic LoRA |
| Repository π€ | https://huggingface.co/nchapman/Qwen3.8-Flash-Next-Heretic-LoRA |
| Base Model(s) | |
| Required VRAM | 0.2 GB |
| Updated | 2026-11-13 |
| Maintainer | nchapman |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | model.language_model.layers.0.linear_attn.out_proj|model.language_model.layers.0.mlp.shared_expert.down_proj|model.language_model.layers.1.linear_attn.out_proj|model.language_model.layers.1.mlp.shared_expert.down_proj|model.language_model.layers.10.linear_attn.out_proj|model.language_model.layers.10.mlp.shared_expert.down_proj|model.language_model.layers.11.mlp.shared_expert.down_proj|model.language_model.layers.11.self_attn.o_proj|model.language_model.layers.12.linear_attn.out_proj|model.language_model.layers.12.mlp.shared_expert.down_proj|model.language_model.layers.13.linear_attn.out_proj|model.language_model.layers.13.mlp.shared_expert.down_proj|model.language_model.layers.14.linear_attn.out_proj|model.language_model.layers.14.mlp.shared_expert.down_proj|model.language_model.layers.15.mlp.shared_expert.down_proj|model.language_model.layers.15.self_attn.o_proj|model.language_model.layers.16.linear_attn.out_proj|model.language_model.layers.16.mlp.shared_expert.down_proj|model.language_model.layers.17.linear_attn.out_proj|model.language_model.layers.17.mlp.shared_expert.down_proj|model.language_model.layers.18.linear_attn.out_proj|model.language_model.layers.18.mlp.shared_expert.down_proj|model.language_model.layers.19.mlp.shared_expert.down_proj|model.language_model.layers.19.self_attn.o_proj|model.language_model.layers.2.linear_attn.out_proj|model.language_model.layers.2.mlp.shared_expert.down_proj|model.language_model.layers.20.linear_attn.out_proj|model.language_model.layers.20.mlp.shared_expert.down_proj|model.language_model.layers.21.linear_attn.out_proj|model.language_model.layers.21.mlp.shared_expert.down_proj|model.language_model.layers.22.linear_attn.out_proj|model.language_model.layers.22.mlp.shared_expert.down_proj|model.language_model.layers.23.mlp.shared_expert.down_proj|model.language_model.layers.23.self_attn.o_proj|model.language_model.layers.24.linear_attn.out_proj|model.language_model.layers.24.mlp.shared_expert.down_proj|model.language_model.layers.25.linear_attn.out_proj|model.language_model.layers.25.mlp.shared_expert.down_proj|model.language_model.layers.26.linear_attn.out_proj|model.language_model.layers.26.mlp.shared_expert.down_proj|model.language_model.layers.27.mlp.shared_expert.down_proj|model.language_model.layers.27.self_attn.o_proj|model.language_model.layers.28.linear_attn.out_proj|model.language_model.layers.28.mlp.shared_expert.down_proj|model.language_model.layers.29.linear_attn.out_proj|model.language_model.layers.29.mlp.shared_expert.down_proj|model.language_model.layers.3.mlp.shared_expert.down_proj|model.language_model.layers.3.self_attn.o_proj|model.language_model.layers.30.linear_attn.out_proj|model.language_model.layers.30.mlp.shared_expert.down_proj|model.language_model.layers.31.mlp.shared_expert.down_proj|model.language_model.layers.31.self_attn.o_proj|model.language_model.layers.32.linear_attn.out_proj|model.language_model.layers.32.mlp.shared_expert.down_proj|model.language_model.layers.33.linear_attn.out_proj|model.language_model.layers.33.mlp.shared_expert.down_proj|model.language_model.layers.34.linear_attn.out_proj|model.language_model.layers.34.mlp.shared_expert.down_proj|model.language_model.layers.35.mlp.shared_expert.down_proj|model.language_model.layers.35.self_attn.o_proj|model.language_model.layers.36.linear_attn.out_proj|model.language_model.layers.36.mlp.shared_expert.down_proj|model.language_model.layers.37.linear_attn.out_proj|model.language_model.layers.37.mlp.shared_expert.down_proj|model.language_model.layers.38.linear_attn.out_proj|model.language_model.layers.38.mlp.shared_expert.down_proj|model.language_model.layers.39.mlp.shared_expert.down_proj|model.language_model.layers.39.self_attn.o_proj|model.language_model.layers.4.linear_attn.out_proj|model.language_model.layers.4.mlp.shared_expert.down_proj|model.language_model.layers.40.linear_attn.out_proj|model.language_model.layers.40.mlp.shared_expert.down_proj|model.language_model.layers.41.linear_attn.out_proj|model.language_model.layers.41.mlp.shared_expert.down_proj|model.language_model.layers.42.linear_attn.out_proj|model.language_model.layers.42.mlp.shared_expert.down_proj|model.language_model.layers.43.mlp.shared_expert.down_proj|model.language_model.layers.43.self_attn.o_proj|model.language_model.layers.44.linear_attn.out_proj|model.language_model.layers.44.mlp.shared_expert.down_proj|model.language_model.layers.45.linear_attn.out_proj|model.language_model.layers.45.mlp.shared_expert.down_proj|model.language_model.layers.46.linear_attn.out_proj|model.language_model.layers.46.mlp.shared_expert.down_proj|model.language_model.layers.47.mlp.shared_expert.down_proj|model.language_model.layers.47.self_attn.o_proj|model.language_model.layers.5.linear_attn.out_proj|model.language_model.layers.5.mlp.shared_expert.down_proj|model.language_model.layers.6.linear_attn.out_proj|model.language_model.layers.6.mlp.shared_expert.down_proj|model.language_model.layers.7.mlp.shared_expert.down_proj|model.language_model.layers.7.self_attn.o_proj|model.language_model.layers.8.linear_attn.out_proj|model.language_model.layers.8.mlp.shared_expert.down_proj|model.language_model.layers.9.linear_attn.out_proj|model.language_model.layers.9.mlp.shared_expert.down_proj |
| LoRA Alpha | 1 |
| LoRA Dropout | 0 |
| R Param | 1 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Codium Bd Coder V2 Lora | 0K / 8.4 GB | 1157 | 1 |
| Gemma4 E4b Journalist | 0K / 0.2 GB | 100 | 2 |
| Ktotest | 0K / 0.3 GB | 5 | 0 |
| Mongolian Llama3 V0.1 | 0K / 0 GB | 26 | 10 |
| Claude Kimiko | 0K / 0.3 GB | 69 | 1 |
| ... Mel Gemma4 E4b Reasoning Lora | 0K / 0.4 GB | 34 | 1 |
| FiscMind AI V9 | 0K / 0.2 GB | 13 | 0 |
| Dronam Vision V1 | 0K / 0.1 GB | 14 | 0 |
| Dronam V1 | 0K / 0.1 GB | 14 | 0 |
| ...5 Mini Instruct Hermes Fc Json | 0K / 0.1 GB | 8 | 1 |