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mradermacher
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BgGPT-Gemma-2-9B-IT-v1.0-GGUF

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GGUF
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auto-patch README.md

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README.md CHANGED
@@ -36,10 +36,15 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
37
  |:-----|:-----|--------:|:------|
38
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q2_K.gguf) | Q2_K | 3.9 | |
 
39
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q3_K_M.gguf) | Q3_K_M | 4.9 | lower quality |
 
40
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.IQ4_XS.gguf) | IQ4_XS | 5.3 | |
41
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q4_0_4_4.gguf) | Q4_0_4_4 | 5.5 | fast on arm, low quality |
42
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q4_K_S.gguf) | Q4_K_S | 5.6 | fast, recommended |
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q6_K.gguf) | Q6_K | 7.7 | very good quality |
44
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q8_0.gguf) | Q8_0 | 9.9 | fast, best quality |
45
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.f16.gguf) | f16 | 18.6 | 16 bpw, overkill |
 
36
  | Link | Type | Size/GB | Notes |
37
  |:-----|:-----|--------:|:------|
38
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q2_K.gguf) | Q2_K | 3.9 | |
39
+ | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q3_K_S.gguf) | Q3_K_S | 4.4 | |
40
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q3_K_M.gguf) | Q3_K_M | 4.9 | lower quality |
41
+ | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q3_K_L.gguf) | Q3_K_L | 5.2 | |
42
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.IQ4_XS.gguf) | IQ4_XS | 5.3 | |
43
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q4_0_4_4.gguf) | Q4_0_4_4 | 5.5 | fast on arm, low quality |
44
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q4_K_S.gguf) | Q4_K_S | 5.6 | fast, recommended |
45
+ | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q4_K_M.gguf) | Q4_K_M | 5.9 | fast, recommended |
46
+ | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q5_K_S.gguf) | Q5_K_S | 6.6 | |
47
+ | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q5_K_M.gguf) | Q5_K_M | 6.7 | |
48
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q6_K.gguf) | Q6_K | 7.7 | very good quality |
49
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.Q8_0.gguf) | Q8_0 | 9.9 | fast, best quality |
50
  | [GGUF](https://huggingface.co/mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF/resolve/main/BgGPT-Gemma-2-9B-IT-v1.0.f16.gguf) | f16 | 18.6 | 16 bpw, overkill |