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Browse files- .gitattributes +1 -0
- README.md +41 -3
- SmolLM2-1.7B-Merged-Q4_K_M.gguf +3 -0
- config.json +30 -0
- mergekit_config.yml +10 -0
- merges.txt +0 -0
- model-00001-of-00001.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +42 -0
- tokenizer.json +0 -0
- tokenizer_config.json +168 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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SmolLM2-1.7B-Merged-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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---
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base_model:
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- HuggingFaceTB/SmolLM2-1.7B
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- HuggingFaceTB/SmolLM2-1.7B-Instruct
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# SmolLM2-1.7B-Merged
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [HuggingFaceTB/SmolLM2-1.7B](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B) as a base.
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### Models Merged
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The following models were included in the merge:
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* [HuggingFaceTB/SmolLM2-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: HuggingFaceTB/SmolLM2-1.7B-Instruct
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parameters:
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weight: 1
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merge_method: ties
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base_model: HuggingFaceTB/SmolLM2-1.7B
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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```
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SmolLM2-1.7B-Merged-Q4_K_M.gguf
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config.json
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{
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"_name_or_path": "HuggingFaceTB/SmolLM2-1.7B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 24,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 130000,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.0",
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"use_cache": true,
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"vocab_size": 49152
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}
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mergekit_config.yml
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models:
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- model: HuggingFaceTB/SmolLM2-1.7B-Instruct
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parameters:
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weight: 1
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merge_method: ties
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base_model: HuggingFaceTB/SmolLM2-1.7B
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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merges.txt
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model-00001-of-00001.safetensors
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special_tokens_map.json
ADDED
@@ -0,0 +1,42 @@
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{
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"additional_special_tokens": [
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"<|endoftext|>",
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4 |
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"<|im_start|>",
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"<|im_end|>",
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"<repo_name>",
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|
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|
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|
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|
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}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
@@ -0,0 +1,168 @@
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],
|
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|
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"vocab_size": 49152
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168 |
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}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|