Hugging Face's logo

Jezzarax
/
yi-6B-GGUF

Transformers
GGUF
yi
Model card Files Community
Jezzarax commited on
Commit
cfe8e30
•
1 Parent(s): ba6bec3

Make readme visible; Fix quantisation table

Browse files
Files changed (1) hide show
  1. readme.md → README.md +12 -14
readme.md → README.md RENAMED
@@ -90,20 +90,18 @@ Refer to the Provided Files table below to see what files use which methods, and
90
  <!-- README_GGUF.md-provided-files start -->
91
  ## Provided files
92
 
93
- | Name | Quant method | Bits | Size | Max RAM required | Use case |
94
- | ---- | ---- | ---- | ---- | ---- | ----- |
95
- | [yi-6b.Q2_K.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q2_K.gguf) | Q2_K | 2 | 14.56 GB| 17.06 GB | smallest, significant quality loss - not recommended for most purposes |
96
- | [yi-6b.Q3_K_S.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q3_K_S.gguf) | Q3_K_S | 3 | 14.96 GB| 17.46 GB | very small, high quality loss |
97
- | [yi-6b.Q3_K_M.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q3_K_M.gguf) | Q3_K_M | 3 | 16.64 GB| 19.14 GB | very small, high quality loss |
98
- | [yi-6b.Q3_K_L.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q3_K_L.gguf) | Q3_K_L | 3 | 18.14 GB| 20.64 GB | small, substantial quality loss |
99
- | [yi-6b.Q4_0.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q4_0.gguf) | Q4_0 | 4 | 19.47 GB| 21.97 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
100
- | [yi-6b.Q4_K_S.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q4_K_S.gguf) | Q4_K_S | 4 | 19.54 GB| 22.04 GB | small, greater quality loss |
101
- | [yi-6b.Q4_K_M.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q4_K_M.gguf) | Q4_K_M | 4 | 20.66 GB| 23.16 GB | medium, balanced quality - recommended |
102
- | [yi-6b.Q5_0.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q5_0.gguf) | Q5_0 | 5 | 23.71 GB| 26.21 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
103
- | [yi-6b.Q5_K_S.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q5_K_S.gguf) | Q5_K_S | 5 | 23.71 GB| 26.21 GB | large, low quality loss - recommended |
104
- | [yi-6b.Q5_K_M.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q5_K_M.gguf) | Q5_K_M | 5 | 24.32 GB| 26.82 GB | large, very low quality loss - recommended |
105
- | [yi-6b.Q6_K.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q6_K.gguf) | Q6_K | 6 | 28.21 GB| 30.71 GB | very large, extremely low quality loss |
106
- | [yi-6b.Q8_0.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q8_0.gguf) | Q8_0 | 8 | 36.54 GB| 39.04 GB | very large, extremely low quality loss - not recommended |
107
 
108
  **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.
109
 
 
90
  <!-- README_GGUF.md-provided-files start -->
91
  ## Provided files
92
 
93
+ | Name | Quant method | Bits | Size | Use case |
94
+ | ---- | ---- | ---- | ---- | ----- |
95
+ | [yi-6b.Q2_K.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q2_K.gguf) | Q2_K | 2 | 2.5 GB| smallest, significant quality loss - not recommended for most purposes |
96
+ | [yi-6b.Q3_K_S.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q3_K_S.gguf) | Q3_K_S | 3 | 2.6 GB| very small, high quality loss |
97
+ | [yi-6b.Q3_K.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q3_K.gguf) | Q3_K_M | 3 | 2.8 GB| very small, high quality loss |
98
+ | [yi-6b.Q3_K_L.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q3_K_L.gguf) | Q3_K_L | 3 | 3.1 GB| small, substantial quality loss |
99
+ | [yi-6b.Q4_K_S.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q4_K_S.gguf) | Q4_K_S | 4 | 3.3 GB | small, greater quality loss |
100
+ | [yi-6b.Q4_K.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q4_K.gguf) | Q4_K | 4 | 3.5 GB GB | medium, balanced quality - recommended |
101
+ | [yi-6b.Q5_K_S.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q5_K_S.gguf) | Q5_K_S | 5 | 4.0 GB | large, low quality loss - recommended |
102
+ | [yi-6b.Q5_K.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q5_K.gguf) | Q5_K | 5 | 4.1 GB | large, very low quality loss - recommended |
103
+ | [yi-6b.Q6_K.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.Q6_K.gguf) | Q6_K | 6 | 4.7 GB | very large, extremely low quality loss |
104
+ | [yi-6b.f16.gguf](https://huggingface.co/jezzarax/yi-6b-GGUF/blob/main/yi-6b.f16.gguf) | f16 | 16 | 12 GB| very large, no quality loss - not recommended |
 
 
105
 
106
  **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.
107