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auttasak88/AgentWorld-35B-A3B-Heretic-FP8
AgentWorld-35B-A3B-Heretic-FP8 is a text generation model from auttasak88. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Static FP8 quantization of auttasak88/AgentWorld-35B-A3B-Heretic in compressed-tensors format, for efficient serving with vLLM.
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From the Hugging Face model README
Static FP8 quantization of auttasak88/AgentWorld-35B-A3B-Heretic in compressed-tensors format, for efficient serving with vLLM.
FP8_DYNAMIC), including the 256 fused MoE experts and full-attention / shared-expert layers. The GatedDeltaNet linear-attention layers, MoE routers, and lm_head are kept in higher precision.For the full model description, benchmarks, methodology, and other formats (BF16 safetensors, GGUF Q4/Q5/Q8), see the base model:
auttasak88/AgentWorld-35B-A3B-Heretic.
This is a capability-preserving abliteration of Qwen/Qwen-AgentWorld-35B-A3B (a language world model for agent–environment interaction) produced with Heretic: refusal / over-refusal behavior is substantially reduced while coding, reasoning, multilingual (incl. Thai), and agent-environment modeling are largely preserved. See the base card for the evidence and caveats.
The checkpoint is language-model-only (no vision weights). vLLM detects the compressed-tensors FP8 config automatically.
vllm serve auttasak88/AgentWorld-35B-A3B-Heretic-FP8 \
--tensor-parallel-size 2 --language-model-only \
--max-model-len 8192 --max-num-seqs 64
--max-num-seqs ≤ ~120 — the linear-attention (GatedDeltaNet) layers use a Mamba-style cache, and a too-high value fails CUDA-graph capture (max_num_seqs exceeds Mamba cache blocks).nvrtc lib dir to LD_LIBRARY_PATH, or force the Marlin FP8 kernel with VLLM_TEST_FORCE_FP8_MARLIN=1.Apache-2.0, inheriting the base model. Abliteration by Heretic; FP8 by llm-compressor; base model by the Qwen team (Qwen/Qwen-AgentWorld-35B-A3B).