d20_optimized_897m_seed3
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d20_optimized_897m_seed8
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View details ↗GLM-5.2-colibri-int4
jlnsrkPre-converted weights for **colibrì** — the pure-C engine that runs GLM-5.2 (744B MoE) on a consumer machine with ~25 GB of RAM by streaming routed experts from disk. This is the output of colibrì's `coli convert` (`convert_fp8_to_int4.py --ebits 4 --io-bits 8`, including the MTP head for native speculative decoding), uploaded so you don't have to download the 756 GB FP8 checkpoint and spend a day converting it. **⚠️ This is NOT a GGUF / AWQ / GPTQ / MLX model.** It is colibrì's own container: for each quantized weight, `name` (U8, packed int4 nibbles) + `name.qs` (F32 per-row scales), quantized with math bit-identical to the engine's C kernels. It only works with the colibrì engine.
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View details ↗whisper-large-v3-atco2-asr
jlvdoorn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 ↗MiniCPM-V-4.6-gguf
jma-informatique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 ↗dolphin3-nsfw-gf-chat-gguf
jmachine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 ↗Elixir-Gemma-4-12B
jmarceno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 ↗Elixir-Qwen2.5-Coder-3B
jmarceno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 ↗PaddleOCR-VL-1.6-mlx-8bit
jmbarrancoidener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-DFlash2-JM-FAILED
jmeadlock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 ↗Qwemma-3-0.5B-mlx-8Bit
jmfirth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 ↗Drama-3-GGUF
JmicaExperimental native audio.cpp conversions of Fish Audio Drama 3, prepared from checkpoint revision `dd64a85cd82e9521f7202610ede97b367fc83946`. All packages use the same trained model architecture and checkpoint. **Standard GGML K-quants with mixed precision.** The packages use Q2_K, Q3_K_S and Q4_K_S file profiles with pure expert banks and explicit precision overrides. Routed expert tensors use Q2_K, Q3_K and Q4_K storage respectively. `backbone-8bit` means Q8_0 language-backbone matrices; `backbone-4bit` means Q4_K matrices with a Q4_0 text embedding. The table below lists the precision overrides. Audio-tower matrices and waveform codec weights remain FP16; audio-tower normalization and other retained FP32 vectors are unchanged. The Q3_K_S and Q4_K_S file profiles use pure expert banks: all 120 routed expert projection banks have uniform Q3_K or Q4_K storage. Their storage-type selection corresponds to a standard `--pure` K profile with explicit precision overrides for the dense backbone, text embedding and audio components. Architecture-specific higher-bit promotion heuristics are not applied; an unmodified default llama.cpp preset can choose different types for some tensors. See the standard converter's pure and per-tensor options. The native audio.cpp converter takes `--expert-type q3_k` or `--expert-type q4_k`. The table above lists each component's actual storage type.
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View details ↗VibeVoice7B
Jmica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 ↗parc-mamba-seed0
jmichaelov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 ↗parc-pythia-seed0
jmichaelov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 ↗gemma-4-12B-it-qat-GGUF
JMingo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 ↗gemma-4-31B-it-qat-GGUF
JMingo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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