apepkuss79 commited on
Commit
d0c4dc7
1 Parent(s): 8cfea09

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +89 -89
README.md CHANGED
@@ -1,89 +1,89 @@
1
- ---
2
- license: llama3
3
- library_name: transformers
4
- pipeline_tag: text-generation
5
- base_model: yentinglin/Llama-3-Taiwan-8B-Instruct
6
- quantized_by: Second State Inc.
7
- language:
8
- - zh
9
- - en
10
- tags:
11
- - zhtw
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
- # Llama-3-Taiwan-8B-Instruct-GGUF
23
-
24
- ## Original Model
25
-
26
- [haqishen/Llama-3-Taiwan-8B-Instruct](https://huggingface.co/haqishen/Llama-3-Taiwan-8B-Instruct)
27
-
28
- ## Run with LlamaEdge
29
-
30
- - LlamaEdge version: [v0.14.1](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.1) and above
31
-
32
- - Prompt template
33
-
34
- - Prompt type: `llama-3-chat`
35
-
36
- - Prompt string
37
-
38
- ```text
39
- <|begin_of_text|><|start_header_id|>system<|end_header_id|>
40
-
41
- {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
42
-
43
- {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
44
-
45
- {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
46
-
47
- {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
48
- ```
49
-
50
- - Context size: `4096`
51
-
52
- - Run as LlamaEdge service
53
-
54
- ```bash
55
- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf \
56
- llama-api-server.wasm \
57
- --prompt-template llama-3-chat \
58
- --ctx-size 4096 \
59
- --model-name Llama-3-Taiwan-8B-Instruct \
60
- ```
61
-
62
- - Run as LlamaEdge command app
63
-
64
- ```bash
65
- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf \
66
- llama-chat.wasm \
67
- --prompt-template llama-3-chat \
68
- --ctx-size 4096
69
- ```
70
-
71
- ## Quantized GGUF Models
72
-
73
- | Name | Quant method | Bits | Size | Use case |
74
- | ---- | ---- | ---- | ---- | ----- |
75
- | [Llama-3-Taiwan-8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q2_K.gguf) | Q2_K | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
76
- | [Llama-3-Taiwan-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
77
- | [Llama-3-Taiwan-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
78
- | [Llama-3-Taiwan-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
79
- | [Llama-3-Taiwan-8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
80
- | [Llama-3-Taiwan-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
81
- | [Llama-3-Taiwan-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
82
- | [Llama-3-Taiwan-8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
83
- | [Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
84
- | [Llama-3-Taiwan-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended |
85
- | [Llama-3-Taiwan-8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q6_K.gguf) | Q6_K | 6 | 6.6 GB| very large, extremely low quality loss |
86
- | [Llama-3-Taiwan-8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
87
- | [Llama-3-Taiwan-8B-Instruct-f16.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-f16.gguf) | f16 | 16 | 16.1 GB| |
88
-
89
- *Quantized with llama.cpp b3613.*
 
1
+ ---
2
+ license: llama3
3
+ library_name: transformers
4
+ pipeline_tag: text-generation
5
+ base_model: yentinglin/Llama-3-Taiwan-8B-Instruct
6
+ quantized_by: Second State Inc.
7
+ language:
8
+ - zh
9
+ - en
10
+ tags:
11
+ - zhtw
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
+ # Llama-3-Taiwan-8B-Instruct-GGUF
23
+
24
+ ## Original Model
25
+
26
+ [yentinglin/Llama-3-Taiwan-8B-Instruct](https://huggingface.co/yentinglin/Llama-3-Taiwan-8B-Instruct)
27
+
28
+ ## Run with LlamaEdge
29
+
30
+ - LlamaEdge version: [v0.14.1](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.1) and above
31
+
32
+ - Prompt template
33
+
34
+ - Prompt type: `llama-3-chat`
35
+
36
+ - Prompt string
37
+
38
+ ```text
39
+ <|begin_of_text|><|start_header_id|>system<|end_header_id|>
40
+
41
+ {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
42
+
43
+ {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
44
+
45
+ {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
46
+
47
+ {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
48
+ ```
49
+
50
+ - Context size: `4096`
51
+
52
+ - Run as LlamaEdge service
53
+
54
+ ```bash
55
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf \
56
+ llama-api-server.wasm \
57
+ --prompt-template llama-3-chat \
58
+ --ctx-size 4096 \
59
+ --model-name Llama-3-Taiwan-8B-Instruct \
60
+ ```
61
+
62
+ - Run as LlamaEdge command app
63
+
64
+ ```bash
65
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf \
66
+ llama-chat.wasm \
67
+ --prompt-template llama-3-chat \
68
+ --ctx-size 4096
69
+ ```
70
+
71
+ ## Quantized GGUF Models
72
+
73
+ | Name | Quant method | Bits | Size | Use case |
74
+ | ---- | ---- | ---- | ---- | ----- |
75
+ | [Llama-3-Taiwan-8B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q2_K.gguf) | Q2_K | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
76
+ | [Llama-3-Taiwan-8B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
77
+ | [Llama-3-Taiwan-8B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
78
+ | [Llama-3-Taiwan-8B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
79
+ | [Llama-3-Taiwan-8B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
80
+ | [Llama-3-Taiwan-8B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
81
+ | [Llama-3-Taiwan-8B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
82
+ | [Llama-3-Taiwan-8B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
83
+ | [Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
84
+ | [Llama-3-Taiwan-8B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended |
85
+ | [Llama-3-Taiwan-8B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q6_K.gguf) | Q6_K | 6 | 6.6 GB| very large, extremely low quality loss |
86
+ | [Llama-3-Taiwan-8B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
87
+ | [Llama-3-Taiwan-8B-Instruct-f16.gguf](https://huggingface.co/second-state/Llama-3-Taiwan-8B-Instruct-GGUF/blob/main/Llama-3-Taiwan-8B-Instruct-f16.gguf) | f16 | 16 | 16.1 GB| |
88
+
89
+ *Quantized with llama.cpp b3613.*