AI is happening. The future is updating.Agents-A1-Uncensored-MTP-APEX-GGUF
Agents-A1-Uncensored-MTP-APEX English | π δΈζζζ‘£ Uncensored 35B agentic MoE Β· APEX-quantized GGUFs + MTP + BF16 mmproj Agents-A1 is a 35B-parameter Mixture-of-Experts agentic model from InternScience , post-trained on top of Qwen3.5-35B-A3B via a three-stage paradigm: full-domain SFT β domain-level teacher training β multi-teacher multi-domain on-policy distillation. Despite operating in the ~35B model class, Agents-A1 delivers highly competitive performance against frontier-scale systems such as GPT-5.5, DeepSeek-V4-pro, and Kimi-K2.6 β achieving SOTA on Seal-0 (56.4), HiPhO (46.4), FrontierScience-Olympiad (79.0), IFBench (80.6), IFEval (94.8), and best-among-comparable on BrowseComp (75.5), XBench-DS-2510 (86.0), GAIA (96.0), SciCode (44.3), HLE (47.6), and MolBench-bind (56.8). This GGUF package includes the mmproj-Agents-A1-Uncensored-MTP-BF16.gguf vision projector for multimodal (image + text) capabilities with llama.cpp. MTP layers are extracted from Qwen3.5-35B-A3B and injected into Agents-A1's safetensors (see MTP Extraction & Injection section). License: Apache-2.0. This release merges the selected behavior-modification LoRA into the BF16 base before MTP injection and APEX quantization. The uncensored adaptation was produced with abliterix . It is intended to reduce refusal behavior and can produce responses that differ materially from the original model. Evaluation result 2 refusals / 100 prompts KL divergence 0.016058 Use responsibly: evaluate the model for your deployment context and apply appropriate safeguards.
Agents-A1-Uncensored-MTP-APEX English | π δΈζζζ‘£ Uncensored 35B agentic MoE Β· APEX-quantized GGUFs + MTP + BF16 mmproj Agents-A1 is a 35B-parameter Mixture-of-Experts agentic model from InternScience , post-trained on top of Qwen3.5-35B-A3B via a three-stage paradigm: full-domain SFT β domain-level teacher training β multi-teacher multi-domain on-policy distillation. Despite operating in the ~35B model class, Agents-A1 delivers highly competitive performance against frontier-scale systems such as GPT-5.5, DeepSeek-V4-pro, and Kimi-K2.6 β achieving SOTA on Seal-0 (56.4), HiPhO (46.4), FrontierScience-Olympiad (79.0), IFBench (80.6), IFEval (94.8), and best-among-comparable on BrowseComp (75.5), XBench-DS-2510 (86.0), GAIA (96.0), SciCode (44.3), HLE (47.6), and MolBench-bind (56.8). This GGUF package includes the mmproj-Agents-A1-Uncensored-MTP-BF16.gguf vision projector for multimodal (image + text) capabilities with llama.cpp. MTP layers are extracted from Qwen3.5-35B-A3B and injected into Agents-A1's safetensors (see MTP Extraction & Injection section). License: Apache-2.0. This release merges the selected behavior-modification LoRA into the BF16 base before MTP injection and APEX quantization. The uncensored adaptation was produced with abliterix . It is intended to reduce refusal behavior and can produce responses that differ materially from the original model. Evaluation result 2 refusals / 100 prompts KL divergence 0.016058 Use responsibly: evaluate the model for your deployment context and apply appropriate safeguards.