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AI Models 84760
- Qwen3.6-27B-PrismaSCOUT-Blackwell-NVFP4-BF16-vllm↗
rdtand
- 01-ai_-_Yi-1.5-34B-Chat-gguf↗
RichardErkhov
Yi-1.5-34B-Chat - GGUF - Model creator: https://huggingface.co/01-ai/ - Original model: https://huggingface.co/01-ai/Yi-1.5-34B-Chat/ Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples. Compared with Yi, Yi-1.5 delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension.
- Azazelle_-_Half-NSFW_Noromaid-7b-gguf↗
RichardErkhov
- Ericu950_-_Papy_1_Llama-3.1-8B-Instruct_date-gguf↗
RichardErkhov
- InferenceIllusionist_-_Excalibur-7b-DPO-gguf↗
RichardErkhov
- jstredacted_-_gamma-2b-instruct-ft-awesome-chatgpt-prompts-gguf↗
RichardErkhov
- Juggernaut-XL-v6↗
RunDiffusion
- codet5p-220m-bimodal↗
Salesforce
- Gemma-4-26B-A4B-It-Abliterated-GGUF↗
SevenOfNine
GGUF quants of Gemma-4-26B-A4B-It-Abliterated — google/gemma-4-26B-A4B-it (26B Mixture-of-Experts, 4B active params, vision + tool calling) fully decensored with Heretic in **full bf16**. `logs/` holds the full Heretic run logs (Pareto front, per-trial metrics). Smaller rig? Grab the BF16 and quantize down to Q4_K_M / Q3_K_M yourself. The selection rule was *fewest refusals while keeping KL divergence ≤ 0.5* (brain first). For reference, Heretic itself warns that KL above 0.5 indicates significant capability damage — at **0.0845**, the model's intelligence is essentially intact while 82 % of hard refusals are gone. The refusal benchmark uses *extreme* harmful prompts; everyday creative/roleplay use sees refusals fall away well before that threshold.
- Angelic_Eclipse_12B_GGUF↗
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