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Here are some cutting-edge preview RWKV models: https://huggingface.co/BlinkDL/temp-latest-training-models/tree/main including RWKV-7 checkpts (already supported by https://pypi.org/project/rwkv/ and https://github.com/Ai00-X/ai00_server) "single_round_qa" are "states" (check https://x.com/BlinkDL_AI/status/1788354345807057035) and these are single round Q&A states

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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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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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Visual QA
Input Text · Image→ Output Text
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KBIR

bloomberg

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KeyBART

bloomberg

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GGUF conversions of inclusionAI/Ling-3.0-flash (124B total / 5.1B active, hybrid KDA + gated MLA, 512-expert MoE), converted directly from the released BF16 safetensors. These are the **reference conversions for the `bailingmoe3` architecture**, merged into llama.cpp in PR #26608 (2026-08-17). Every file bundles the MTP (NextN) block and Ling 3.0's trained per-layer SwiGLU clamp metadata, and no separate drafter file, nor fork required. Consistent agentic use (tool calling, reasoning split) currently requires two llama.cpp PRs: - Dedicated Ling parser: #28682 (✅ Merged as of 9/19) - Invalid UTF-8 handling in the PEG parser: #29161 (✅ Merged as of 9/20)

Text generation
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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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GGUF conversions of inclusionAI/Ling-3.0-tiny, converted directly from the released BF16 safetensors. Consistent agentic use (tool calling, reasoning split) currently requires two unmerged llama.cpp PRs: - Dedicated Ling parser: #28682 (✅ Merged as of 9/19) - Invalid UTF-8 handling in the PEG parser: #29161 (✅ Merged as of 9/20) Without both, tool calls inside an unclosed think block are dropped and some turns fail with a 500. Will update this note as they merge.

Text generation
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A collection of optimized GGUF quantized models derived from BlossomsAI/Qwen2.5-Coder-7B-Instruct-Uncensored, providing various performance-quality tradeoffs.

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