mradermacher commited on
Commit
e9dfb90
1 Parent(s): 88d98ad

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +15 -0
README.md CHANGED
@@ -31,12 +31,27 @@ more details, including on how to concatenate multi-part files.
31
 
32
  | Link | Type | Size/GB | Notes |
33
  |:-----|:-----|--------:|:------|
 
 
 
 
 
34
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ2_M.gguf) | i1-IQ2_M | 3.0 | |
35
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q2_K.gguf) | i1-Q2_K | 3.3 | IQ3_XXS probably better |
36
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.4 | lower quality |
 
 
 
 
37
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.1 | IQ3_S probably better |
 
 
 
38
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.8 | optimal size/speed/quality |
39
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.0 | fast, recommended |
 
 
 
40
 
41
  Here is a handy graph by ikawrakow comparing some lower-quality quant
42
  types (lower is better):
 
31
 
32
  | Link | Type | Size/GB | Notes |
33
  |:-----|:-----|--------:|:------|
34
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ1_S.gguf) | i1-IQ1_S | 2.1 | for the desperate |
35
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ1_M.gguf) | i1-IQ1_M | 2.3 | mostly desperate |
36
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.5 | |
37
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.7 | |
38
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ2_S.gguf) | i1-IQ2_S | 2.9 | |
39
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ2_M.gguf) | i1-IQ2_M | 3.0 | |
40
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q2_K.gguf) | i1-Q2_K | 3.3 | IQ3_XXS probably better |
41
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.4 | lower quality |
42
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.6 | |
43
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.8 | IQ3_XS probably better |
44
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ3_S.gguf) | i1-IQ3_S | 3.8 | beats Q3_K* |
45
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ3_M.gguf) | i1-IQ3_M | 3.9 | |
46
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.1 | IQ3_S probably better |
47
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.4 | IQ3_M probably better |
48
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.5 | |
49
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q4_0.gguf) | i1-Q4_0 | 4.8 | fast, low quality |
50
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.8 | optimal size/speed/quality |
51
  | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.0 | fast, recommended |
52
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.7 | |
53
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.8 | |
54
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-Nerdy-RP-8B-i1-GGUF/resolve/main/Llama-3-Nerdy-RP-8B.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | practically like static Q6_K |
55
 
56
  Here is a handy graph by ikawrakow comparing some lower-quality quant
57
  types (lower is better):