Instructions to use vulcan2506/Strategic-LLAMA-V1-InstructBase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vulcan2506/Strategic-LLAMA-V1-InstructBase with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vulcan2506/Strategic-LLAMA-V1-InstructBase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Training in progress, epoch 1
Browse files- README.md +3 -3
- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
- special_tokens_map.json +1 -1
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
README.md
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---
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base_model: unsloth/llama-3.2-3b-
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library_name: transformers
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model_name: Strategic-LLAMA-V1-InstructBase
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tags:
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- generated_from_trainer
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- sft
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- unsloth
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- trl
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licence: license
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---
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# Model Card for Strategic-LLAMA-V1-InstructBase
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This model is a fine-tuned version of [unsloth/llama-3.2-3b-
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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---
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base_model: unsloth/llama-3.2-3b-unsloth-bnb-4bit
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library_name: transformers
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model_name: Strategic-LLAMA-V1-InstructBase
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tags:
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- generated_from_trainer
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- unsloth
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- trl
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- sft
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licence: license
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---
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# Model Card for Strategic-LLAMA-V1-InstructBase
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This model is a fine-tuned version of [unsloth/llama-3.2-3b-unsloth-bnb-4bit](https://huggingface.co/unsloth/llama-3.2-3b-unsloth-bnb-4bit).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/llama-3.2-3b-
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"gate_proj",
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"
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"v_proj",
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"q_proj",
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"down_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/llama-3.2-3b-unsloth-bnb-4bit",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"o_proj",
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"q_proj",
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"down_proj",
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"k_proj",
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"v_proj",
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"up_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 145935536
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version https://git-lfs.github.com/spec/v1
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size 145935536
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special_tokens_map.json
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"single_word": false
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},
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"eos_token": {
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"content": "<|
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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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"eos_token": {
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"content": "<|end_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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tokenizer_config.json
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},
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|
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"extra_special_tokens": {},
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"model_input_names": [
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"input_ids",
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},
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|end_of_text|>",
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"extra_special_tokens": {},
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"model_input_names": [
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"input_ids",
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training_args.bin
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size 6225
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version https://git-lfs.github.com/spec/v1
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size 6225
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