Hugging Face's logo

second-state
/
Yi-1.5-34B-Chat-GGUF

Text Generation
Transformers
GGUF
llama
text-generation-inference
Model card Files Community
1
apepkuss79 commited on
Commit
6b5b06e
•
1 Parent(s): c89f8df

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +87 -91
README.md CHANGED
@@ -1,91 +1,87 @@
1
- ---
2
- base_model: 01-ai/Yi-1.5-34B-Chat
3
- inference: false
4
- license: other
5
- license_link: LICENSE
6
- license_name: yi-license
7
- model_creator: 01-ai
8
- model_name: Yi-1.5-34B-Chat
9
- model_type: yi
10
- pipeline_tag: text-generation
11
- quantized_by: Second State Inc.
12
- ---
13
-
14
- <!-- header start -->
15
- <!-- 200823 -->
16
- <div style="width: auto; margin-left: auto; margin-right: auto">
17
- <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
18
- </div>
19
- <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
20
- <!-- header end -->
21
-
22
- # Yi-1.5-34B-Chat-GGUF
23
-
24
- ## Original Model
25
-
26
- [01-ai/Yi-1.5-34B-Chat](https://huggingface.co/01-ai/Yi-1.5-34B-Chat)
27
-
28
- ## Run with LlamaEdge
29
-
30
- - LlamaEdge version: [v0.10.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.10.0) and above
31
-
32
- - Prompt template
33
-
34
- - Prompt type: `chatml`
35
-
36
- - Prompt string
37
-
38
- ```text
39
- <|im_start|>system
40
- {system_message}<|im_end|>
41
- <|im_start|>user
42
- {prompt}<|im_end|>
43
- <|im_start|>assistant
44
- ```
45
-
46
- - Reverse prompt: `<|im_end|>`
47
-
48
- - Context size: `7168`
49
-
50
- - Run as LlamaEdge service
51
-
52
- ```bash
53
- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-1.5-34B-Chat-Q5_K_M.gguf \
54
- llama-api-server.wasm \
55
- --prompt-template chatml \
56
- --reverse-prompt '<|im_end|>' \
57
- --ctx-size 7168 \
58
- --model-name Yi-1.5-34B-Chat
59
- ```
60
-
61
- - Run as LlamaEdge command app
62
-
63
- ```bash
64
- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-1.5-34B-Chat-Q5_K_M.gguf \
65
- llama-chat.wasm \
66
- --prompt-template chatml \
67
- --reverse-prompt '<|im_end|>' \
68
- --ctx-size 7168
69
- ```
70
-
71
- ## Quantized GGUF Models
72
-
73
- | Name | Quant method | Bits | Size | Use case |
74
- | ---- | ---- | ---- | ---- | ----- |
75
- | [Yi-1.5-34B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q2_K.gguf) | Q2_K | 2 |12.8 GB| smallest, significant quality loss - not recommended for most purposes |
76
- | [Yi-1.5-34B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 18.1 GB| small, substantial quality loss |
77
- | [Yi-1.5-34B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 16.7 GB| very small, high quality loss |
78
- | [Yi-1.5-34B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 15 GB| very small, high quality loss |
79
- | [Yi-1.5-34B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q4_0.gguf) | Q4_0 | 4 | 19.5 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
80
- | [Yi-1.5-34B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 20.7 GB| medium, balanced quality - recommended |
81
- | [Yi-1.5-34B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 19.6 GB| small, greater quality loss |
82
- | [Yi-1.5-34B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q5_0.gguf) | Q5_0 | 5 | 23.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
83
- | [Yi-1.5-34B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 23.4 GB| large, very low quality loss - recommended |
84
- | [Yi-1.5-34B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 23.7 GB| large, low quality loss - recommended |
85
- | [Yi-1.5-34B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q6_K.gguf) | Q6_K | 6 | 28.3 GB| very large, extremely low quality loss |
86
- | [Yi-1.5-34B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q8_0.gguf) | Q8_0 | 8 | 36.5 GB| very large, extremely low quality loss - not recommended |
87
- | [Yi-1.5-34B-Chat-f16-00001-of-00003.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-f16-00001-of-00003.gguf) | f16 | 16 | 32.2 GB| |
88
- | [Yi-1.5-34B-Chat-f16-00002-of-00003.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-f16-00002-of-00003.gguf) | f16 | 16 | 32.1 GB| |
89
- | [Yi-1.5-34B-Chat-f16-00003-of-00003.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-f16-00003-of-00003.gguf) | f16 | 16 | 4.48 GB| |
90
-
91
- *Quantized with llama.cpp b2824*
 
1
+ ---
2
+ base_model: 01-ai/Yi-1.5-34B-Chat
3
+ inference: false
4
+ license: other
5
+ license_link: LICENSE
6
+ license_name: yi-license
7
+ model_creator: 01-ai
8
+ model_name: Yi-1.5-34B-Chat
9
+ model_type: yi
10
+ pipeline_tag: text-generation
11
+ quantized_by: Second State Inc.
12
+ ---
13
+
14
+ <!-- header start -->
15
+ <!-- 200823 -->
16
+ <div style="width: auto; margin-left: auto; margin-right: auto">
17
+ <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
18
+ </div>
19
+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
20
+ <!-- header end -->
21
+
22
+ # Yi-1.5-34B-Chat-GGUF
23
+
24
+ ## Original Model
25
+
26
+ [01-ai/Yi-1.5-34B-Chat](https://huggingface.co/01-ai/Yi-1.5-34B-Chat)
27
+
28
+ ## Run with LlamaEdge
29
+
30
+ - LlamaEdge version: [v0.10.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.10.0) and above
31
+
32
+ - Prompt template
33
+
34
+ - Prompt type: `chatml`
35
+
36
+ - Prompt string
37
+
38
+ ```text
39
+ <|im_start|>system
40
+ {system_message}<|im_end|>
41
+ <|im_start|>user
42
+ {prompt}<|im_end|>
43
+ <|im_start|>assistant
44
+ ```
45
+
46
+ - Context size: `7168`
47
+
48
+ - Run as LlamaEdge service
49
+
50
+ ```bash
51
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-1.5-34B-Chat-Q5_K_M.gguf \
52
+ llama-api-server.wasm \
53
+ --prompt-template chatml \
54
+ --ctx-size 7168 \
55
+ --model-name Yi-1.5-34B-Chat
56
+ ```
57
+
58
+ - Run as LlamaEdge command app
59
+
60
+ ```bash
61
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Yi-1.5-34B-Chat-Q5_K_M.gguf \
62
+ llama-chat.wasm \
63
+ --prompt-template chatml \
64
+ --ctx-size 7168
65
+ ```
66
+
67
+ ## Quantized GGUF Models
68
+
69
+ | Name | Quant method | Bits | Size | Use case |
70
+ | ---- | ---- | ---- | ---- | ----- |
71
+ | [Yi-1.5-34B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q2_K.gguf) | Q2_K | 2 |12.8 GB| smallest, significant quality loss - not recommended for most purposes |
72
+ | [Yi-1.5-34B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 18.1 GB| small, substantial quality loss |
73
+ | [Yi-1.5-34B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 16.7 GB| very small, high quality loss |
74
+ | [Yi-1.5-34B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 15 GB| very small, high quality loss |
75
+ | [Yi-1.5-34B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q4_0.gguf) | Q4_0 | 4 | 19.5 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
76
+ | [Yi-1.5-34B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 20.7 GB| medium, balanced quality - recommended |
77
+ | [Yi-1.5-34B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 19.6 GB| small, greater quality loss |
78
+ | [Yi-1.5-34B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q5_0.gguf) | Q5_0 | 5 | 23.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
79
+ | [Yi-1.5-34B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 23.4 GB| large, very low quality loss - recommended |
80
+ | [Yi-1.5-34B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 23.7 GB| large, low quality loss - recommended |
81
+ | [Yi-1.5-34B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q6_K.gguf) | Q6_K | 6 | 28.3 GB| very large, extremely low quality loss |
82
+ | [Yi-1.5-34B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-Q8_0.gguf) | Q8_0 | 8 | 36.5 GB| very large, extremely low quality loss - not recommended |
83
+ | [Yi-1.5-34B-Chat-f16-00001-of-00003.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-f16-00001-of-00003.gguf) | f16 | 16 | 32.2 GB| |
84
+ | [Yi-1.5-34B-Chat-f16-00002-of-00003.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-f16-00002-of-00003.gguf) | f16 | 16 | 32.1 GB| |
85
+ | [Yi-1.5-34B-Chat-f16-00003-of-00003.gguf](https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF/blob/main/Yi-1.5-34B-Chat-f16-00003-of-00003.gguf) | f16 | 16 | 4.48 GB| |
86
+
87
+ *Quantized with llama.cpp b2824*