mradermacher commited on
Commit
1f4bf4a
1 Parent(s): d6c9748

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +11 -1
README.md CHANGED
@@ -19,7 +19,7 @@ tags:
19
  static quants of https://huggingface.co/lodrick-the-lafted/Grafted-Llama2-2x70B
20
 
21
  <!-- provided-files -->
22
- weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
23
  ## Usage
24
 
25
  If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -32,7 +32,17 @@ more details, including on how to concatenate multi-part files.
32
 
33
  | Link | Type | Size/GB | Notes |
34
  |:-----|:-----|--------:|:------|
 
 
 
 
 
35
  | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q4_K_S.gguf.part2of2) | Q4_K_S | 71.4 | fast, recommended |
 
 
 
 
 
36
 
37
  Here is a handy graph by ikawrakow comparing some lower-quality quant
38
  types (lower is better):
 
19
  static quants of https://huggingface.co/lodrick-the-lafted/Grafted-Llama2-2x70B
20
 
21
  <!-- provided-files -->
22
+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-i1-GGUF
23
  ## Usage
24
 
25
  If you are unsure how to use GGUF files, refer to one of [TheBloke's
 
32
 
33
  | Link | Type | Size/GB | Notes |
34
  |:-----|:-----|--------:|:------|
35
+ | [GGUF](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q2_K.gguf) | Q2_K | 46.0 | |
36
+ | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q3_K_S.gguf.part2of2) | Q3_K_S | 54.2 | |
37
+ | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q3_K_M.gguf.part2of2) | Q3_K_M | 60.2 | lower quality |
38
+ | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q3_K_L.gguf.part2of2) | Q3_K_L | 65.3 | |
39
+ | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.IQ4_XS.gguf.part2of2) | IQ4_XS | 67.6 | |
40
  | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q4_K_S.gguf.part2of2) | Q4_K_S | 71.4 | fast, recommended |
41
+ | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q4_K_M.gguf.part2of2) | Q4_K_M | 75.7 | fast, recommended |
42
+ | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q5_K_S.gguf.part2of2) | Q5_K_S | 86.3 | |
43
+ | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q5_K_M.gguf.part2of2) | Q5_K_M | 88.9 | |
44
+ | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q6_K.gguf.part3of3) | Q6_K | 102.9 | very good quality |
45
+ | [PART 1](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Grafted-Llama2-2x70B-GGUF/resolve/main/Grafted-Llama2-2x70B.Q8_0.gguf.part3of3) | Q8_0 | 133.3 | fast, best quality |
46
 
47
  Here is a handy graph by ikawrakow comparing some lower-quality quant
48
  types (lower is better):