kcoopermiller
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Browse files- README.md +40 -0
- added_tokens.json +5 -0
- config.json +28 -0
- mergekit_config.yml +9 -0
- merges.txt +0 -0
- model-00001-of-00001.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- vocab.json +0 -0
README.md
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---
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base_model:
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- Qwen/Qwen1.5-0.5B
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- aloobun/Reyna-Mini-1.8B-v0.2
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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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# merge
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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 passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
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* [aloobun/Reyna-Mini-1.8B-v0.2](https://huggingface.co/aloobun/Reyna-Mini-1.8B-v0.2)
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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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slices:
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- sources:
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- model: aloobun/Reyna-Mini-1.8B-v0.2
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layer_range: [0, 23]
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- sources:
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- model: Qwen/Qwen1.5-0.5B
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layer_range: [2, 3]
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merge_method: passthrough
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dtype: bfloat16
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```
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen1.5-0.5B",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 2816,
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.3",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: aloobun/Reyna-Mini-1.8B-v0.2
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layer_range: [0, 23]
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- sources:
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- model: Qwen/Qwen1.5-0.5B
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layer_range: [2, 3]
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merge_method: passthrough
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:92059d278d5c9a8eba09634a2ec74b8f98f8688660d1638b57c81b3d6b593730
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size 3287016000
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model.safetensors.index.json
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special_tokens_map.json
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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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"eos_token": {
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"content": "<|endoftext|>",
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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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"pad_token": {
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"content": "<|endoftext|>",
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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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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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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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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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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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"special": true
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},
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"151645": {
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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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"special": true
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}
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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": null,
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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 assistant<|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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+
"clean_up_tokenization_spaces": false,
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+
"eos_token": "<|endoftext|>",
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+
"errors": "replace",
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+
"model_max_length": 32768,
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+
"pad_token": "<|endoftext|>",
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+
"split_special_tokens": false,
|
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+
"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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vocab.json
ADDED
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