TheBloke commited on
Commit
d1ae0d5
·
1 Parent(s): 36b4d5c

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +31 -1
README.md CHANGED
@@ -116,8 +116,38 @@ Refer to the Provided Files table below to see what files use which methods, and
116
  | [nous-puffin-70b.ggmlv3.Q5_0.bin](https://huggingface.co/TheBloke/Nous-Puffin-70B-GGML/blob/main/nous-puffin-70b.ggmlv3.Q5_0.bin) | Q5_0 | 5 | 47.46 GB| 49.96 GB | Original quant method, 5-bit. Higher accuracy, higher resource usage and slower inference. |
117
  | [nous-puffin-70b.ggmlv3.Q5_K_S.bin](https://huggingface.co/TheBloke/Nous-Puffin-70B-GGML/blob/main/nous-puffin-70b.ggmlv3.Q5_K_S.bin) | Q5_K_S | 5 | 47.46 GB| 49.96 GB | New k-quant method. Uses GGML_TYPE_Q5_K for all tensors |
118
  | [nous-puffin-70b.ggmlv3.Q5_K_M.bin](https://huggingface.co/TheBloke/Nous-Puffin-70B-GGML/blob/main/nous-puffin-70b.ggmlv3.Q5_K_M.bin) | Q5_K_M | 5 | 48.75 GB| 51.25 GB | New k-quant method. Uses GGML_TYPE_Q6_K for half of the attention.wv and feed_forward.w2 tensors, else GGML_TYPE_Q5_K |
 
 
 
119
 
120
- **Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
121
 
122
  ## How to run in `llama.cpp`
123
 
 
116
  | [nous-puffin-70b.ggmlv3.Q5_0.bin](https://huggingface.co/TheBloke/Nous-Puffin-70B-GGML/blob/main/nous-puffin-70b.ggmlv3.Q5_0.bin) | Q5_0 | 5 | 47.46 GB| 49.96 GB | Original quant method, 5-bit. Higher accuracy, higher resource usage and slower inference. |
117
  | [nous-puffin-70b.ggmlv3.Q5_K_S.bin](https://huggingface.co/TheBloke/Nous-Puffin-70B-GGML/blob/main/nous-puffin-70b.ggmlv3.Q5_K_S.bin) | Q5_K_S | 5 | 47.46 GB| 49.96 GB | New k-quant method. Uses GGML_TYPE_Q5_K for all tensors |
118
  | [nous-puffin-70b.ggmlv3.Q5_K_M.bin](https://huggingface.co/TheBloke/Nous-Puffin-70B-GGML/blob/main/nous-puffin-70b.ggmlv3.Q5_K_M.bin) | Q5_K_M | 5 | 48.75 GB| 51.25 GB | New k-quant method. Uses GGML_TYPE_Q6_K for half of the attention.wv and feed_forward.w2 tensors, else GGML_TYPE_Q5_K |
119
+ | nous-puffin-70b.ggmlv3.q5_1.bin | q5_1 | 5 | 51.76 GB | 54.26 GB | Original quant method, 5-bit. Higher accuracy, slower inference than q5_0. |
120
+ | nous-puffin-70b.ggmlv3.q6_K.bin | q6_K | 6 | 56.59 GB | 59.09 GB | New k-quant method. Uses GGML_TYPE_Q8_K - 6-bit quantization - for all tensors |
121
+ | nous-puffin-70b.ggmlv3.q8_0.bin | q8_0 | 8 | 73.23 GB | 75.73 GB | Original llama.cpp quant method, 8-bit. Almost indistinguishable from float16. High resource use and slow. Not recommended for most users. |
122
 
123
+ ### q5_1, q6_K and q8_0 files require expansion from archive
124
+
125
+ **Note:** HF does not support uploading files larger than 50GB. Therefore I have uploaded the q6_K and q8_0 files as multi-part ZIP files. They are not compressed, they are just for storing a .bin file in two parts.
126
+
127
+ <details>
128
+ <summary>Click for instructions regarding q5_1, q6_K and q8_0 files</summary>
129
+
130
+ ### q5_1
131
+ Please download:
132
+ * `nous-puffin-70b.ggmlv3.q5_1.zip`
133
+ * `nous-puffin-70b.ggmlv3.q5_1.z01`
134
+
135
+ ### q6_K
136
+ Please download:
137
+ * `nous-puffin-70b.ggmlv3.q6_K.zip`
138
+ * `nous-puffin-70b.ggmlv3.q6_K.z01`
139
+
140
+ ### q8_0
141
+ Please download:
142
+ * `nous-puffin-70b.ggmlv3.q8_0.zip`
143
+ * `nous-puffin-70b.ggmlv3.q8_0.z01`
144
+
145
+ Then extract the .zip archive. This will will expand both parts automatically. On Linux I found I had to use `7zip` - the basic `unzip` tool did not work. Example:
146
+ ```
147
+ sudo apt update -y && sudo apt install 7zip
148
+ 7zz x nous-puffin-70b.ggmlv3.q6_K.zip
149
+ ```
150
+ </details>
151
 
152
  ## How to run in `llama.cpp`
153