Ministral-3-14B-Nymphaea-RP
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Ministral-3-8B-Nymphaea-RP
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View details ↗Decision-WAF-V1-0.1B
0xBrandon基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗c38-r16a
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View details ↗c38-r16b
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View details ↗c38-r16c
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View details ↗Our pick an **experimental (advanced) mode** at this model a continuously trained `Qwen2.5-Coder-0.5B-Instruct` fine-tuned using **Gensyn RL-Swarm** framework with **GRPO (Group Relative Policy Optimization)** and supported format **GGUF (llama.cpp)** for enhanced code generation capabilities. **Note: Current training focuses on programming challenges with adaptive weighted sampling**. **Total Dataset Size:** Streaming datasets with infinite iteration **Training Samples per Round:** 2 **Evaluation:** Real-time via Swarm Coordination with Ollama-based evaluator else Judge > "When the solvers perform well, the proposer automatically increases the difficulty to keep challenging solvers to get better over time." - CodeZero-blog
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View details ↗Dungeons-and-Diffusion
0xJustin基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Agnes-3.0-Flash-abliterated-GGUF
0xKitkat基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Agnes-3.0-Flash-GGUF
0xKitkat基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗**If you use this model, follow @procrastiness on X/Twitter.** That’s where drop notes, quant updates, and the next bake land first. One follow is the whole ask. Same idea as HauhauCS Aggressive on Qwen3.6: **keep the original model’s skills, strip the refusal / preamble habit.** No extra fine-tune. No dataset swap. This is a weight edit plus a baked chat template, not a jailbreak prompt you have to remember. > Safety alignment has been removed. The model will comply with requests the base checkpoint would refuse. Use it only in ways that are legal where you are. The publisher does not condone criminal use.
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View details ↗silent-voice-multimodal
0xroyce基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗> [!IMPORTANT] > **Generation is validated on one physical NVIDIA DGX Spark.** Use the pinned > Docker recipe below. Stock vLLM, stock ExLlamaV3, and a bare > `--tensor-parallel-size 1` command cannot load this TP4 rank-sliced artifact > correctly. This is a REAP-pruned, 3.0 bpw EXL3/Trellis build of `deepseek-ai/DeepSeek-V4-Flash-0731`, packaged for a **single 128 GB DGX Spark** through `local-inference-lab/sparkinfer`. - **Runtime repository:** `0xSero/deepseek-v4-flash-0731-spark-sparkinfer` - **Pinned public image:** `ghcr.io/0xsero/deepseek-v4-flash-0731-spark-sparkinfer@sha256:2e077489a83a0360952828051fe7f7a32c1801e5ce8436d85f7267583d614ff4` - **Pinned model revision:** `22f28d32b9b29b4352eaa380ff8c2c170b2847ab` - **API:** OpenAI-compatible server on `http://127.0.0.1:8000` - **Configured model limit:** 262,144 tokens
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View details ↗GLM-5.3-500B-EXL3-3.0bpw
0xSero基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗GLM-5.3-EXL3-3.0bpw
0xSero基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗GLM-5.3-Flash-EXL3-Q4
0xSero基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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