apepkuss79 commited on
Commit
55c1e54
1 Parent(s): 5f7b560

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +97 -95
README.md CHANGED
@@ -1,96 +1,98 @@
1
- ---
2
- license: other
3
- license_name: exaone
4
- license_link: LICENSE
5
- model_name: EXAONE-3.0-7.8B-Instruct
6
- base_model: LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct
7
- inference: false
8
- model_creator: Meta Llama3
9
- model_type: llama
10
- pipeline_tag: text-generation
11
- quantized_by: Second State Inc.
12
- language:
13
- - en
14
- - ko
15
- tags:
16
- - lg-ai
17
- - exaone
18
- - gguf
19
- ---
20
-
21
- <!-- header start -->
22
- <!-- 200823 -->
23
- <div style="width: auto; margin-left: auto; margin-right: auto">
24
- <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
25
- </div>
26
- <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
27
- <!-- header end -->
28
-
29
- # EXAONE-3.0-7.8B-Instruct-GGUF
30
-
31
- ## Original Model
32
-
33
- [LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct](https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct)
34
-
35
- ## Run with LlamaEdge
36
-
37
- - LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) and above
38
-
39
- <!-- - Prompt template
40
-
41
- - Prompt type: `llama-3-chat`
42
-
43
- - Prompt string
44
-
45
- ```text
46
- <|begin_of_text|><|start_header_id|>system<|end_header_id|>
47
-
48
- {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
49
-
50
- {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
51
-
52
- {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
53
-
54
- {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
55
- ``` -->
56
-
57
- - Context size: `4096`
58
-
59
- <!-- - Run as LlamaEdge service
60
-
61
- ```bash
62
- wasmedge --dir .:. --nn-preload default:GGML:AUTO:EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf \
63
- llama-api-server.wasm \
64
- --prompt-template llama-3-chat \
65
- --ctx-size 4096 \
66
- --model-name EXAONE-3.0-7.8B-Instruct
67
- ```
68
-
69
- - Run as LlamaEdge command app
70
-
71
- ```bash
72
- wasmedge --dir .:. --nn-preload default:GGML:AUTO:EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf \
73
- llama-chat.wasm \
74
- --prompt-template llama-3-chat \
75
- --ctx-size 4096
76
- ``` -->
77
-
78
- ## Quantized GGUF Models
79
-
80
- | Name | Quant method | Bits | Size | Use case |
81
- | ---- | ---- | ---- | ---- | ----- |
82
- | [EXAONE-3.0-7.8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q2_K.gguf) | Q2_K | 2 | 3.05 GB| smallest, significant quality loss - not recommended for most purposes |
83
- | [EXAONE-3.0-7.8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.19 GB| small, substantial quality loss |
84
- | [EXAONE-3.0-7.8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 3.88 GB| very small, high quality loss |
85
- | [EXAONE-3.0-7.8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.53 GB| very small, high quality loss |
86
- | [EXAONE-3.0-7.8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 4.51 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
87
- | [EXAONE-3.0-7.8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.77 GB| medium, balanced quality - recommended |
88
- | [EXAONE-3.0-7.8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.54 GB| small, greater quality loss |
89
- | [EXAONE-3.0-7.8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 5.44 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
90
- | [EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.57 GB| large, very low quality loss - recommended |
91
- | [EXAONE-3.0-7.8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.44 GB| large, low quality loss - recommended |
92
- | [EXAONE-3.0-7.8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q6_K.gguf) | Q6_K | 6 | 6.42 GB| very large, extremely low quality loss |
93
- | [EXAONE-3.0-7.8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 8.31 GB| very large, extremely low quality loss - not recommended |
94
- | [EXAONE-3.0-7.8B-Instruct-f16.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-f16.gguf) | f16 | 16 | 15.6 GB| |
95
-
 
 
96
  *Quantized with llama.cpp b3807.*
 
1
+ ---
2
+ license: other
3
+ license_name: exaone
4
+ license_link: LICENSE
5
+ model_name: EXAONE-3.0-7.8B-Instruct
6
+ base_model: LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct
7
+ inference: false
8
+ model_creator: Meta Llama3
9
+ model_type: llama
10
+ pipeline_tag: text-generation
11
+ quantized_by: Second State Inc.
12
+ language:
13
+ - en
14
+ - ko
15
+ tags:
16
+ - lg-ai
17
+ - exaone
18
+ - gguf
19
+ ---
20
+
21
+ <!-- header start -->
22
+ <!-- 200823 -->
23
+ <div style="width: auto; margin-left: auto; margin-right: auto">
24
+ <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
25
+ </div>
26
+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
27
+ <!-- header end -->
28
+
29
+ # EXAONE-3.0-7.8B-Instruct-GGUF
30
+
31
+ ## Original Model
32
+
33
+ [LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct](https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct)
34
+
35
+ ## Run with LlamaEdge
36
+
37
+ - LlamaEdge version: coming soon
38
+
39
+ <!-- - LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) and above
40
+
41
+ - Prompt template
42
+
43
+ - Prompt type: `llama-3-chat`
44
+
45
+ - Prompt string
46
+
47
+ ```text
48
+ <|begin_of_text|><|start_header_id|>system<|end_header_id|>
49
+
50
+ {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
51
+
52
+ {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
53
+
54
+ {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
55
+
56
+ {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
57
+ ``` -->
58
+
59
+ - Context size: `4096`
60
+
61
+ <!-- - Run as LlamaEdge service
62
+
63
+ ```bash
64
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf \
65
+ llama-api-server.wasm \
66
+ --prompt-template llama-3-chat \
67
+ --ctx-size 4096 \
68
+ --model-name EXAONE-3.0-7.8B-Instruct
69
+ ```
70
+
71
+ - Run as LlamaEdge command app
72
+
73
+ ```bash
74
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf \
75
+ llama-chat.wasm \
76
+ --prompt-template llama-3-chat \
77
+ --ctx-size 4096
78
+ ``` -->
79
+
80
+ ## Quantized GGUF Models
81
+
82
+ | Name | Quant method | Bits | Size | Use case |
83
+ | ---- | ---- | ---- | ---- | ----- |
84
+ | [EXAONE-3.0-7.8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q2_K.gguf) | Q2_K | 2 | 3.05 GB| smallest, significant quality loss - not recommended for most purposes |
85
+ | [EXAONE-3.0-7.8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.19 GB| small, substantial quality loss |
86
+ | [EXAONE-3.0-7.8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 3.88 GB| very small, high quality loss |
87
+ | [EXAONE-3.0-7.8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.53 GB| very small, high quality loss |
88
+ | [EXAONE-3.0-7.8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 4.51 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
89
+ | [EXAONE-3.0-7.8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.77 GB| medium, balanced quality - recommended |
90
+ | [EXAONE-3.0-7.8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.54 GB| small, greater quality loss |
91
+ | [EXAONE-3.0-7.8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 5.44 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
92
+ | [EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.57 GB| large, very low quality loss - recommended |
93
+ | [EXAONE-3.0-7.8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.44 GB| large, low quality loss - recommended |
94
+ | [EXAONE-3.0-7.8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q6_K.gguf) | Q6_K | 6 | 6.42 GB| very large, extremely low quality loss |
95
+ | [EXAONE-3.0-7.8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 8.31 GB| very large, extremely low quality loss - not recommended |
96
+ | [EXAONE-3.0-7.8B-Instruct-f16.gguf](https://huggingface.co/second-state/EXAONE-3.0-7.8B-Instruct-GGUF/blob/main/EXAONE-3.0-7.8B-Instruct-f16.gguf) | f16 | 16 | 15.6 GB| |
97
+
98
  *Quantized with llama.cpp b3807.*