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Qwen2.5-1.5B-Instruct-i1-GGUF

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  1. README.md +5 -0
README.md CHANGED
@@ -38,6 +38,7 @@ more details, including on how to concatenate multi-part files.
38
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | |
39
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 | |
40
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 | |
 
41
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |
42
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |
43
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 | |
@@ -50,11 +51,15 @@ more details, including on how to concatenate multi-part files.
50
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 1.0 | fast on arm, low quality |
51
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 1.0 | fast on arm+i8mm, low quality |
52
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 1.0 | fast on arm+sve, low quality |
 
53
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |
54
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |
55
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |
 
56
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 | |
 
57
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 | |
 
58
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 1.4 | practically like static Q6_K |
59
 
60
  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
38
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | |
39
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 | |
40
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 | |
41
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |
42
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |
43
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |
44
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 | |
 
51
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 1.0 | fast on arm, low quality |
52
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 1.0 | fast on arm+i8mm, low quality |
53
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 1.0 | fast on arm+sve, low quality |
54
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.0 | prefer IQ4_XS |
55
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |
56
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |
57
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |
58
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_1.gguf) | i1-Q4_1 | 1.1 | |
59
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 | |
60
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_0.gguf) | i1-Q5_0 | 1.2 | |
61
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 | |
62
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_1.gguf) | i1-Q5_1 | 1.3 | |
63
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 1.4 | practically like static Q6_K |
64
 
65
  Here is a handy graph by ikawrakow comparing some lower-quality quant