Hugging Face's logo

mradermacher
/
internlm2-chat-7b-GGUF

Transformers
GGUF
English
conversational
Model card Files
xet
Community
mradermacher commited on
Commit
d3bef01
·
verified ·
1 Parent(s): fbf2820

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +10 -0
README.md CHANGED
@@ -30,7 +30,17 @@ more details, including on how to concatenate multi-part files.
30
  | Link | Type | Size/GB | Notes |
31
  |:-----|:-----|--------:|:------|
32
  | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q2_K.gguf) | Q2_K | 3.1 | |
 
 
 
 
 
33
  | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
 
 
 
 
 
34
  | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.f16.gguf) | f16 | 15.6 | 16 bpw, overkill |
35
 
36
  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
30
  | Link | Type | Size/GB | Notes |
31
  |:-----|:-----|--------:|:------|
32
  | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q2_K.gguf) | Q2_K | 3.1 | |
33
+ | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
34
+ | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
35
+ | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
36
+ | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
37
+ | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q4_0_4_4.gguf) | Q4_0_4_4 | 4.6 | fast on arm, low quality |
38
  | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
39
+ | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
40
+ | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q5_K_S.gguf) | Q5_K_S | 5.5 | |
41
+ | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q5_K_M.gguf) | Q5_K_M | 5.6 | |
42
+ | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q6_K.gguf) | Q6_K | 6.5 | very good quality |
43
+ | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.Q8_0.gguf) | Q8_0 | 8.3 | fast, best quality |
44
  | [GGUF](https://huggingface.co/mradermacher/internlm2-chat-7b-GGUF/resolve/main/internlm2-chat-7b.f16.gguf) | f16 | 15.6 | 16 bpw, overkill |
45
 
46
  Here is a handy graph by ikawrakow comparing some lower-quality quant