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Browse files- .gitattributes +1 -0
- README.md +49 -0
- config.json +41 -0
- mergekit_config.yml +18 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.safetensors +3 -0
- model.safetensors.index.json +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +21 -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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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model:
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- UmbrellaInc/Executer-Virus-3.2-1B
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- Rumiii/Llama-3.2-1B-Instruct-ThinkDoc-RS1
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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 [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
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### Models Merged
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The following models were included in the merge:
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* [UmbrellaInc/Executer-Virus-3.2-1B](https://huggingface.co/UmbrellaInc/Executer-Virus-3.2-1B)
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* [Rumiii/Llama-3.2-1B-Instruct-ThinkDoc-RS1](https://huggingface.co/Rumiii/Llama-3.2-1B-Instruct-ThinkDoc-RS1)
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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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base_model: Rumiii/Llama-3.2-1B-Instruct-ThinkDoc-RS1
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merge_method: slerp
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dtype: float32
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parameters:
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t: 0.7
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# Configuración para estabilidad en hardware limitado
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memory_efficient: true # Procesa capas secuencialmente
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low_cpu_mem_usage: true # Reduce uso de RAM durante merge
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models:
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- model: Rumiii/Llama-3.2-1B-Instruct-ThinkDoc-RS1
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# Forzar precisión por modelo si es necesario
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dtype: float32
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- model: UmbrellaInc/Executer-Virus-3.2-1B
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dtype: float32
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```
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config.json
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{
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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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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"dtype": "float32",
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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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": 131072,
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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": 16,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"factor": 32.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_theta": 500000.0,
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"rope_type": "llama3"
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},
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": true,
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"transformers_version": "4.57.1",
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"use_cache": true,
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"vocab_size": 128256
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}
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mergekit_config.yml
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base_model: Rumiii/Llama-3.2-1B-Instruct-ThinkDoc-RS1
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merge_method: slerp
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dtype: float32
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parameters:
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t: 0.7
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# Configuración para estabilidad en hardware limitado
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memory_efficient: true # Procesa capas secuencialmente
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low_cpu_mem_usage: true # Reduce uso de RAM durante merge
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models:
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- model: Rumiii/Llama-3.2-1B-Instruct-ThinkDoc-RS1
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# Forzar precisión por modelo si es necesario
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dtype: float32
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- model: UmbrellaInc/Executer-Virus-3.2-1B
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dtype: float32
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model-00001-of-00005.safetensors
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tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:90883524dbec2e8c465564ac46b4e5298235668a5cf8523690f06f45f51646fe
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size 17210197
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tokenizer_config.json
ADDED
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{
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"backend": "tokenizers",
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|eot_id|>",
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"is_local": true,
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"max_length": 1024,
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"model_input_names": [
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"input_ids",
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"attention_mask"
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+
],
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| 12 |
+
"model_max_length": 131072,
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"pad_to_multiple_of": null,
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"pad_token": "<|eot_id|>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"stride": 0,
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"tokenizer_class": "TokenizersBackend",
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| 19 |
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"truncation_side": "right",
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| 20 |
+
"truncation_strategy": "longest_first"
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| 21 |
+
}
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