morriszms commited on
Commit
be0ad04
1 Parent(s): 35d6481

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +20 -12
README.md CHANGED
@@ -22,8 +22,16 @@ This repo contains GGUF format model files for [TitanML/tiny-mixtral](https://hu
22
 
23
  The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
24
 
 
 
 
 
 
 
 
25
  ## Prompt template
26
 
 
27
  ```
28
 
29
  ```
@@ -32,18 +40,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
32
 
33
  | Filename | Quant type | File Size | Description |
34
  | -------- | ---------- | --------- | ----------- |
35
- | [tiny-mixtral-Q2_K.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q2_K.gguf) | Q2_K | 0.098 GB | smallest, significant quality loss - not recommended for most purposes |
36
- | [tiny-mixtral-Q3_K_S.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q3_K_S.gguf) | Q3_K_S | 0.113 GB | very small, high quality loss |
37
- | [tiny-mixtral-Q3_K_M.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q3_K_M.gguf) | Q3_K_M | 0.120 GB | very small, high quality loss |
38
- | [tiny-mixtral-Q3_K_L.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q3_K_L.gguf) | Q3_K_L | 0.126 GB | small, substantial quality loss |
39
- | [tiny-mixtral-Q4_0.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q4_0.gguf) | Q4_0 | 0.138 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
40
- | [tiny-mixtral-Q4_K_S.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q4_K_S.gguf) | Q4_K_S | 0.139 GB | small, greater quality loss |
41
- | [tiny-mixtral-Q4_K_M.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q4_K_M.gguf) | Q4_K_M | 0.146 GB | medium, balanced quality - recommended |
42
- | [tiny-mixtral-Q5_0.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q5_0.gguf) | Q5_0 | 0.163 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
43
- | [tiny-mixtral-Q5_K_S.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q5_K_S.gguf) | Q5_K_S | 0.163 GB | large, low quality loss - recommended |
44
- | [tiny-mixtral-Q5_K_M.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q5_K_M.gguf) | Q5_K_M | 0.167 GB | large, very low quality loss - recommended |
45
- | [tiny-mixtral-Q6_K.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q6_K.gguf) | Q6_K | 0.190 GB | very large, extremely low quality loss |
46
- | [tiny-mixtral-Q8_0.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/tree/main/tiny-mixtral-Q8_0.gguf) | Q8_0 | 0.245 GB | very large, extremely low quality loss - not recommended |
47
 
48
 
49
  ## Downloading instruction
 
22
 
23
  The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
24
 
25
+
26
+ <div style="text-align: left; margin: 20px 0;">
27
+ <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
28
+ Run them on the TensorBlock client using your local machine ↗
29
+ </a>
30
+ </div>
31
+
32
  ## Prompt template
33
 
34
+
35
  ```
36
 
37
  ```
 
40
 
41
  | Filename | Quant type | File Size | Description |
42
  | -------- | ---------- | --------- | ----------- |
43
+ | [tiny-mixtral-Q2_K.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q2_K.gguf) | Q2_K | 0.098 GB | smallest, significant quality loss - not recommended for most purposes |
44
+ | [tiny-mixtral-Q3_K_S.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q3_K_S.gguf) | Q3_K_S | 0.113 GB | very small, high quality loss |
45
+ | [tiny-mixtral-Q3_K_M.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q3_K_M.gguf) | Q3_K_M | 0.120 GB | very small, high quality loss |
46
+ | [tiny-mixtral-Q3_K_L.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q3_K_L.gguf) | Q3_K_L | 0.126 GB | small, substantial quality loss |
47
+ | [tiny-mixtral-Q4_0.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q4_0.gguf) | Q4_0 | 0.138 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
48
+ | [tiny-mixtral-Q4_K_S.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q4_K_S.gguf) | Q4_K_S | 0.139 GB | small, greater quality loss |
49
+ | [tiny-mixtral-Q4_K_M.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q4_K_M.gguf) | Q4_K_M | 0.146 GB | medium, balanced quality - recommended |
50
+ | [tiny-mixtral-Q5_0.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q5_0.gguf) | Q5_0 | 0.163 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
51
+ | [tiny-mixtral-Q5_K_S.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q5_K_S.gguf) | Q5_K_S | 0.163 GB | large, low quality loss - recommended |
52
+ | [tiny-mixtral-Q5_K_M.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q5_K_M.gguf) | Q5_K_M | 0.167 GB | large, very low quality loss - recommended |
53
+ | [tiny-mixtral-Q6_K.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q6_K.gguf) | Q6_K | 0.190 GB | very large, extremely low quality loss |
54
+ | [tiny-mixtral-Q8_0.gguf](https://huggingface.co/tensorblock/tiny-mixtral-GGUF/blob/main/tiny-mixtral-Q8_0.gguf) | Q8_0 | 0.245 GB | very large, extremely low quality loss - not recommended |
55
 
56
 
57
  ## Downloading instruction