From bf67e8b2ba530e162d4ee766fcba40f9cceecb04 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Wed, 21 Oct 2026 12:18:17 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: prithivMLmods/Capella-Qwen3-DS-V3.1-4B-GGUF Source: Original Platform --- .gitattributes | 47 ++++++++++++++++++++++++++++ Capella-Qwen3-DS-V3.1-4B.BF16.gguf | 3 ++ Capella-Qwen3-DS-V3.1-4B.F16.gguf | 3 ++ Capella-Qwen3-DS-V3.1-4B.F32.gguf | 3 ++ Capella-Qwen3-DS-V3.1-4B.Q2_K.gguf | 3 ++ Capella-Qwen3-DS-V3.1-4B.Q3_K_L.gguf | 3 ++ Capella-Qwen3-DS-V3.1-4B.Q3_K_M.gguf | 3 ++ Capella-Qwen3-DS-V3.1-4B.Q3_K_S.gguf | 3 ++ Capella-Qwen3-DS-V3.1-4B.Q4_K_M.gguf | 3 ++ Capella-Qwen3-DS-V3.1-4B.Q4_K_S.gguf | 3 ++ Capella-Qwen3-DS-V3.1-4B.Q5_K_M.gguf | 3 ++ Capella-Qwen3-DS-V3.1-4B.Q5_K_S.gguf 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b/README.md @@ -0,0 +1,43 @@ +--- +license: apache-2.0 +language: +- en +base_model: +- prithivMLmods/Capella-Qwen3-DS-V3.1-4B +pipeline_tag: text-generation +library_name: transformers +tags: +- text-generation-inference +- math +--- + +# **Capella-Qwen3-DS-V3.1-4B-GGUF** + +> Capella-Qwen3-DS-V3.1-4B is a reasoning-focused model fine-tuned on Qwen-4B using DeepSeek v3.1 synthetic traces (10K). It specializes in random event simulations, logical problem analysis, and structured reasoning tasks. The model blends symbolic precision, probabilistic logic, and structured output fluency—making it an ideal tool for researchers, educators, and developers working with uncertainty modeling and event-driven analysis. + +## Model Files + +| File Name | Quant Type | File Size | +| - | - | - | +| Capella-Qwen3-DS-V3.1-4B.BF16.gguf | BF16 | 8.05 GB | +| Capella-Qwen3-DS-V3.1-4B.F16.gguf | F16 | 8.05 GB | +| Capella-Qwen3-DS-V3.1-4B.F32.gguf | F32 | 16.1 GB | +| Capella-Qwen3-DS-V3.1-4B.Q2_K.gguf | Q2_K | 1.67 GB | +| Capella-Qwen3-DS-V3.1-4B.Q3_K_L.gguf | Q3_K_L | 2.24 GB | +| Capella-Qwen3-DS-V3.1-4B.Q3_K_M.gguf | Q3_K_M | 2.08 GB | +| Capella-Qwen3-DS-V3.1-4B.Q3_K_S.gguf | Q3_K_S | 1.89 GB | +| Capella-Qwen3-DS-V3.1-4B.Q4_K_M.gguf | Q4_K_M | 2.5 GB | +| Capella-Qwen3-DS-V3.1-4B.Q4_K_S.gguf | Q4_K_S | 2.38 GB | +| Capella-Qwen3-DS-V3.1-4B.Q5_K_M.gguf | Q5_K_M | 2.89 GB | +| Capella-Qwen3-DS-V3.1-4B.Q5_K_S.gguf | Q5_K_S | 2.82 GB | +| Capella-Qwen3-DS-V3.1-4B.Q6_K.gguf | Q6_K | 3.31 GB | +| Capella-Qwen3-DS-V3.1-4B.Q8_0.gguf | Q8_0 | 4.28 GB | + +## 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..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file