Hugging Face's logo

second-state
/
SmolLM-135M-Instruct-GGUF

Text Generation
Transformers
GGUF
English
llama
Inference Endpoints
conversational
Model card Files Community
apepkuss79 commited on
Commit
93bb975
•
1 Parent(s): b3afbc5

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +88 -91
README.md CHANGED
@@ -1,92 +1,89 @@
1
- ---
2
- license: apache-2.0
3
- model_name: SmolLM-135M-Instruct
4
- base_model: HuggingFaceTB/SmolLM-135M-Instruct
5
- inference: false
6
- model_creator: Meta Llama3
7
- model_type: llama
8
- pipeline_tag: text-generation
9
- quantized_by: Second State Inc.
10
- library_name: transformers
11
- language:
12
- - en
13
- ---
14
-
15
- <!-- header start -->
16
- <!-- 200823 -->
17
- <div style="width: auto; margin-left: auto; margin-right: auto">
18
- <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
19
- </div>
20
- <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
21
- <!-- header end -->
22
-
23
- # SmolLM-135M-Instruct
24
-
25
- ## Original Model
26
-
27
- [HuggingFaceTB/SmolLM-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct)
28
-
29
- ## Run with LlamaEdge
30
-
31
- - LlamaEdge version: coming soon
32
-
33
- <!-- - LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) and above
34
-
35
- - Prompt template
36
-
37
- - Prompt type: `llama-3-chat`
38
-
39
- - Prompt string
40
-
41
- ```text
42
- <|begin_of_text|><|start_header_id|>system<|end_header_id|>
43
-
44
- {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
45
-
46
- {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
47
-
48
- {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
49
-
50
- {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
51
- ``` -->
52
-
53
- - Context size: `2048`
54
-
55
- <!-- - Run as LlamaEdge service
56
-
57
- ```bash
58
- wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-135M-Instruct-Q5_K_M.gguf \
59
- llama-api-server.wasm \
60
- --prompt-template llama-3-chat \
61
- --ctx-size 2048 \
62
- --model-name SmolLM-135M-Instruct
63
- ```
64
-
65
- - Run as LlamaEdge command app
66
-
67
- ```bash
68
- wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-135M-Instruct-Q5_K_M.gguf \
69
- llama-chat.wasm \
70
- --prompt-template llama-3-chat \
71
- --ctx-size 2048 \
72
- ``` -->
73
-
74
- ## Quantized GGUF Models
75
-
76
- | Name | Quant method | Bits | Size | Use case |
77
- | ---- | ---- | ---- | ---- | ----- |
78
- | [SmolLM-135M-Instruct-Q2_K.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q2_K.gguf) | Q2_K | 2 | 88.2 MB | smallest, significant quality loss - not recommended for most purposes |
79
- | [SmolLM-135M-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 97.5 MB | small, substantial quality loss |
80
- | [SmolLM-135M-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 93.5 MB | very small, high quality loss |
81
- | [SmolLM-135M-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 88.2 MB | very small, high quality loss |
82
- | [SmolLM-135M-Instruct-Q4_0.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q4_0.gguf) | Q4_0 | 4 | 91.7 MB | legacy; small, very high quality loss - prefer using Q3_K_M |
83
- | [SmolLM-135M-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 105 MB | medium, balanced quality - recommended |
84
- | [SmolLM-135M-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 102 MB | small, greater quality loss |
85
- | [SmolLM-135M-Instruct-Q5_0.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q5_0.gguf) | Q5_0 | 5 | 105 MB | legacy; medium, balanced quality - prefer using Q4_K_M |
86
- | [SmolLM-135M-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 112 MB | large, very low quality loss - recommended |
87
- | [SmolLM-135M-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 110 MB | large, low quality loss - recommended |
88
- | [SmolLM-135M-Instruct-Q6_K.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q6_K.gguf) | Q6_K | 6 | 138 MB | very large, extremely low quality loss |
89
- | [SmolLM-135M-Instruct-Q8_0.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q8_0.gguf) | Q8_0 | 8 | 145 MB | very large, extremely low quality loss - not recommended |
90
- | [SmolLM-135M-Instruct-f16.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-f16.gguf) | f16 | 16 | 271 MB| |
91
-
92
  *Quantized with llama.cpp b3445.*
 
1
+ ---
2
+ license: apache-2.0
3
+ model_name: SmolLM-135M-Instruct
4
+ base_model: HuggingFaceTB/SmolLM-135M-Instruct
5
+ model_creator: HuggingFaceTB
6
+ quantized_by: Second State Inc.
7
+ library_name: transformers
8
+ language:
9
+ - en
10
+ ---
11
+
12
+ <!-- header start -->
13
+ <!-- 200823 -->
14
+ <div style="width: auto; margin-left: auto; margin-right: auto">
15
+ <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
16
+ </div>
17
+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
18
+ <!-- header end -->
19
+
20
+ # SmolLM-135M-Instruct
21
+
22
+ ## Original Model
23
+
24
+ [HuggingFaceTB/SmolLM-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct)
25
+
26
+ ## Run with LlamaEdge
27
+
28
+ - LlamaEdge version: coming soon
29
+
30
+ <!-- - LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) 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: `2048`
51
+
52
+ <!-- - Run as LlamaEdge service
53
+
54
+ ```bash
55
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-135M-Instruct-Q5_K_M.gguf \
56
+ llama-api-server.wasm \
57
+ --prompt-template llama-3-chat \
58
+ --ctx-size 2048 \
59
+ --model-name SmolLM-135M-Instruct
60
+ ```
61
+
62
+ - Run as LlamaEdge command app
63
+
64
+ ```bash
65
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-135M-Instruct-Q5_K_M.gguf \
66
+ llama-chat.wasm \
67
+ --prompt-template llama-3-chat \
68
+ --ctx-size 2048 \
69
+ ``` -->
70
+
71
+ ## Quantized GGUF Models
72
+
73
+ | Name | Quant method | Bits | Size | Use case |
74
+ | ---- | ---- | ---- | ---- | ----- |
75
+ | [SmolLM-135M-Instruct-Q2_K.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q2_K.gguf) | Q2_K | 2 | 88.2 MB | smallest, significant quality loss - not recommended for most purposes |
76
+ | [SmolLM-135M-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 97.5 MB | small, substantial quality loss |
77
+ | [SmolLM-135M-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 93.5 MB | very small, high quality loss |
78
+ | [SmolLM-135M-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 88.2 MB | very small, high quality loss |
79
+ | [SmolLM-135M-Instruct-Q4_0.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q4_0.gguf) | Q4_0 | 4 | 91.7 MB | legacy; small, very high quality loss - prefer using Q3_K_M |
80
+ | [SmolLM-135M-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 105 MB | medium, balanced quality - recommended |
81
+ | [SmolLM-135M-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 102 MB | small, greater quality loss |
82
+ | [SmolLM-135M-Instruct-Q5_0.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q5_0.gguf) | Q5_0 | 5 | 105 MB | legacy; medium, balanced quality - prefer using Q4_K_M |
83
+ | [SmolLM-135M-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 112 MB | large, very low quality loss - recommended |
84
+ | [SmolLM-135M-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 110 MB | large, low quality loss - recommended |
85
+ | [SmolLM-135M-Instruct-Q6_K.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q6_K.gguf) | Q6_K | 6 | 138 MB | very large, extremely low quality loss |
86
+ | [SmolLM-135M-Instruct-Q8_0.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-Q8_0.gguf) | Q8_0 | 8 | 145 MB | very large, extremely low quality loss - not recommended |
87
+ | [SmolLM-135M-Instruct-f16.gguf](https://huggingface.co/second-state/SmolLM-135M-Instruct/blob/main/SmolLM-135M-Instruct-f16.gguf) | f16 | 16 | 271 MB| |
88
+
 
 
 
89
  *Quantized with llama.cpp b3445.*