commit f273f032b9fec6acc4155cc2f37bd284e71b1179 Author: ModelHub XC Date: Sat Nov 7 13:22:12 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: prithivMLmods/Deneb-Qwen3-Radiation-0.6B-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..e9990b3 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,67 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs 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**Deneb-Qwen3-Radiation-0.6B-GGUF** + +> Deneb-Qwen3-Radiation-0.6B is a reasoning-focused model fine-tuned on Qwen for Abliterated Reasoning and polished token probabilities, enhancing balanced multilingual generation across mathematics and general-purpose reasoning. It specializes in event-driven logic, structured analysis, and precise probabilistic modeling—making it an ideal tool for researchers, educators, and developers working with uncertainty and structured reasoning. + +## Model Files + +| File Name | Quant Type | File Size | +| - | - | - | +| Deneb-Qwen3-Radiation-0.6B.BF16.gguf | BF16 | 1.2 GB | +| Deneb-Qwen3-Radiation-0.6B.F16.gguf | F16 | 1.2 GB | +| Deneb-Qwen3-Radiation-0.6B.F32.gguf | F32 | 2.39 GB | +| Deneb-Qwen3-Radiation-0.6B.Q2_K.gguf | Q2_K | 296 MB | +| Deneb-Qwen3-Radiation-0.6B.Q3_K_L.gguf | Q3_K_L | 368 MB | +| Deneb-Qwen3-Radiation-0.6B.Q3_K_M.gguf | Q3_K_M | 347 MB | +| Deneb-Qwen3-Radiation-0.6B.Q3_K_S.gguf | Q3_K_S | 323 MB | +| Deneb-Qwen3-Radiation-0.6B.Q4_0.gguf | Q4_0 | 382 MB | +| Deneb-Qwen3-Radiation-0.6B.Q4_1.gguf | Q4_1 | 409 MB | +| Deneb-Qwen3-Radiation-0.6B.Q4_K.gguf | Q4_K | 397 MB | +| Deneb-Qwen3-Radiation-0.6B.Q4_K_M.gguf | Q4_K_M | 397 MB | +| Deneb-Qwen3-Radiation-0.6B.Q4_K_S.gguf | Q4_K_S | 383 MB | +| Deneb-Qwen3-Radiation-0.6B.Q5_0.gguf | Q5_0 | 437 MB | +| Deneb-Qwen3-Radiation-0.6B.Q5_1.gguf | Q5_1 | 464 MB | +| Deneb-Qwen3-Radiation-0.6B.Q5_K.gguf | Q5_K | 444 MB | +| Deneb-Qwen3-Radiation-0.6B.Q5_K_M.gguf | Q5_K_M | 444 MB | +| Deneb-Qwen3-Radiation-0.6B.Q5_K_S.gguf | Q5_K_S | 437 MB | +| Deneb-Qwen3-Radiation-0.6B.Q6_K.gguf | Q6_K | 495 MB | +| Deneb-Qwen3-Radiation-0.6B.Q8_0.gguf | Q8_0 | 639 MB | + +## Quants Usage + +(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) + +Here is a handy graph by ikawrakow comparing some lower-quality quant +types (lower is better): + +![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..5d0c447 --- /dev/null +++ b/config.json @@ -0,0 +1,3 @@ +{ + "model_type": "qwen3" +} \ No newline at end of file diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..159097f --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "others", "allow_remote": true} \ No newline at end of file