From cada088efc9a348cdc0fcd5335f6f8df860fd95b Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sun, 30 Aug 2026 17:50:12 +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/Osmosis-Apply-1.7B-GGUF Source: Original Platform --- .gitattributes | 47 ++++++++++++++++++++++++++++++++++ Osmosis-Apply-1.7B.BF16.gguf | 3 +++ Osmosis-Apply-1.7B.F16.gguf | 3 +++ Osmosis-Apply-1.7B.F32.gguf | 3 +++ Osmosis-Apply-1.7B.Q2_K.gguf | 3 +++ Osmosis-Apply-1.7B.Q3_K_L.gguf | 3 +++ Osmosis-Apply-1.7B.Q3_K_M.gguf | 3 +++ Osmosis-Apply-1.7B.Q3_K_S.gguf | 3 +++ Osmosis-Apply-1.7B.Q4_K_M.gguf | 3 +++ Osmosis-Apply-1.7B.Q4_K_S.gguf | 3 +++ Osmosis-Apply-1.7B.Q5_K_M.gguf | 3 +++ Osmosis-Apply-1.7B.Q5_K_S.gguf | 3 +++ Osmosis-Apply-1.7B.Q6_K.gguf | 3 +++ 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Given an original code snippet and an edit snippet, this model can apply the edit snippet to original code snippet, updating the code snippet with the edit. + +## Model files + +| File | Size | Format | +|------|------|--------| +| Osmosis-Apply-1.7B.BF16.gguf | 3.45 GB | BF16 | +| Osmosis-Apply-1.7B.F16.gguf | 3.45 GB | F16 | +| Osmosis-Apply-1.7B.F32.gguf | 6.89 GB | F32 | +| Osmosis-Apply-1.7B.Q2_K.gguf | 778 MB | Q2_K | +| Osmosis-Apply-1.7B.Q3_K_L.gguf | 1 GB | Q3_K_L | +| Osmosis-Apply-1.7B.Q3_K_M.gguf | 940 MB | Q3_K_M | +| Osmosis-Apply-1.7B.Q3_K_S.gguf | 867 MB | Q3_K_S | +| Osmosis-Apply-1.7B.Q4_K_M.gguf | 1.11 GB | Q4_K_M | +| Osmosis-Apply-1.7B.Q4_K_S.gguf | 1.06 GB | Q4_K_S | +| Osmosis-Apply-1.7B.Q5_K_M.gguf | 1.26 GB | Q5_K_M | +| Osmosis-Apply-1.7B.Q5_K_S.gguf | 1.23 GB | Q5_K_S | +| Osmosis-Apply-1.7B.Q6_K.gguf | 1.42 GB | Q6_K | +| Osmosis-Apply-1.7B.Q8_0.gguf | 1.83 GB | Q8_0 | +| .gitattributes | 2.38 kB | - | +| README.md | 428 Bytes | - | +| config.json | 29 Bytes | - | + +## 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