Sentence Similarity
sentence-transformers
Safetensors
GGUF
llama
feature-extraction
Trained with AutoTrain
text-embeddings-inference
conversational
Instructions to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2") sentences = [ "search_query: i love autotrain", "search_query: huggingface auto train", "search_query: hugging face auto train", "search_query: i love autotrain" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 # Run inference directly in the terminal: llama cli -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 # Run inference directly in the terminal: llama cli -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 # Run inference directly in the terminal: ./llama-cli -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 # Run inference directly in the terminal: ./build/bin/llama-cli -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
Use Docker
docker model run hf.co/unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
- LM Studio
- Jan
- Ollama
How to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with Ollama:
ollama run hf.co/unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
- Unsloth Desktop
- Docker Model Runner
How to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with Docker Model Runner:
docker model run hf.co/unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
- Lemonade
How to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
Run and chat with the model
lemonade run user.SmolLM-135M-Instruct-DEVINator-v0.2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Upload folder using huggingface_hub
Browse files- config.json +31 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +34 -0
- tokenizer.json +0 -0
- tokenizer_config.json +161 -0
- vocab.json +0 -0
config.json
ADDED
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{
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"_name_or_path": "SmolLM-135M-Instruct-DEVINator-v0.2",
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"architectures": [
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"LlamaForCausalLM"
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],
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| 6 |
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"attention_bias": false,
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| 7 |
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"attention_dropout": 0.0,
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| 8 |
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"bos_token_id": 1,
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| 9 |
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"eos_token_id": 2,
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| 10 |
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"head_dim": 64,
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| 11 |
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"hidden_act": "silu",
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| 12 |
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"hidden_size": 576,
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| 13 |
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"initializer_range": 0.02,
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| 14 |
+
"intermediate_size": 1536,
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| 15 |
+
"max_position_embeddings": 2048,
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| 16 |
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"mlp_bias": false,
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| 17 |
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"model_type": "llama",
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| 18 |
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"num_attention_heads": 9,
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| 19 |
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"num_hidden_layers": 30,
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| 20 |
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"num_key_value_heads": 3,
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| 21 |
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"pad_token_id": 2,
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| 22 |
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"pretraining_tp": 1,
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| 23 |
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"rms_norm_eps": 1e-05,
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| 24 |
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"rope_scaling": null,
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| 25 |
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"rope_theta": 10000.0,
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| 26 |
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"tie_word_embeddings": true,
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| 27 |
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"torch_dtype": "float16",
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| 28 |
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"transformers_version": "4.45.0.dev0",
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| 29 |
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"use_cache": true,
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| 30 |
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"vocab_size": 49152
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}
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generation_config.json
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{
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"_from_model_config": true,
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| 3 |
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"bos_token_id": 1,
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| 4 |
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"eos_token_id": 2,
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| 5 |
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"pad_token_id": 2,
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| 6 |
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"transformers_version": "4.45.0.dev0"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:46253581b13dac361204b102496ce1abb317c75483f8e9f9df4bba999186c715
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| 3 |
+
size 269060280
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special_tokens_map.json
ADDED
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": {
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| 7 |
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"content": "<|im_start|>",
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| 8 |
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"lstrip": false,
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| 9 |
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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| 20 |
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"pad_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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| 23 |
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"normalized": false,
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| 24 |
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"rstrip": false,
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"single_word": false
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| 26 |
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},
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| 27 |
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"unk_token": {
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| 28 |
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"content": "<|endoftext|>",
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| 29 |
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"lstrip": false,
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| 30 |
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"normalized": false,
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| 31 |
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"rstrip": false,
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| 32 |
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"single_word": false
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| 33 |
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}
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| 34 |
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}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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+
{
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"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<repo_name>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"4": {
|
| 37 |
+
"content": "<reponame>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"5": {
|
| 45 |
+
"content": "<file_sep>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"6": {
|
| 53 |
+
"content": "<filename>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"7": {
|
| 61 |
+
"content": "<gh_stars>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"8": {
|
| 69 |
+
"content": "<issue_start>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"9": {
|
| 77 |
+
"content": "<issue_comment>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"10": {
|
| 85 |
+
"content": "<issue_closed>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"11": {
|
| 93 |
+
"content": "<jupyter_start>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"12": {
|
| 101 |
+
"content": "<jupyter_text>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"13": {
|
| 109 |
+
"content": "<jupyter_code>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
},
|
| 116 |
+
"14": {
|
| 117 |
+
"content": "<jupyter_output>",
|
| 118 |
+
"lstrip": false,
|
| 119 |
+
"normalized": false,
|
| 120 |
+
"rstrip": false,
|
| 121 |
+
"single_word": false,
|
| 122 |
+
"special": true
|
| 123 |
+
},
|
| 124 |
+
"15": {
|
| 125 |
+
"content": "<jupyter_script>",
|
| 126 |
+
"lstrip": false,
|
| 127 |
+
"normalized": false,
|
| 128 |
+
"rstrip": false,
|
| 129 |
+
"single_word": false,
|
| 130 |
+
"special": true
|
| 131 |
+
},
|
| 132 |
+
"16": {
|
| 133 |
+
"content": "<empty_output>",
|
| 134 |
+
"lstrip": false,
|
| 135 |
+
"normalized": false,
|
| 136 |
+
"rstrip": false,
|
| 137 |
+
"single_word": false,
|
| 138 |
+
"special": true
|
| 139 |
+
}
|
| 140 |
+
},
|
| 141 |
+
"additional_special_tokens": [
|
| 142 |
+
"<|im_start|>",
|
| 143 |
+
"<|im_end|>"
|
| 144 |
+
],
|
| 145 |
+
"bos_token": "<|im_start|>",
|
| 146 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 147 |
+
"clean_up_tokenization_spaces": false,
|
| 148 |
+
"eos_token": "<|im_end|>",
|
| 149 |
+
"max_length": 2048,
|
| 150 |
+
"model_max_length": 2048,
|
| 151 |
+
"pad_to_multiple_of": null,
|
| 152 |
+
"pad_token": "<|im_end|>",
|
| 153 |
+
"pad_token_type_id": 0,
|
| 154 |
+
"padding_side": "right",
|
| 155 |
+
"stride": 0,
|
| 156 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 157 |
+
"truncation_side": "right",
|
| 158 |
+
"truncation_strategy": "longest_first",
|
| 159 |
+
"unk_token": "<|endoftext|>",
|
| 160 |
+
"vocab_size": 49152
|
| 161 |
+
}
|
vocab.json
ADDED
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|
|