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README.md

@@ -1,3 +1,59 @@
 ---
 license: llama2
+library_name: peft
+tags:
+- llama-factory
+- lora
+- generated_from_trainer
+base_model: BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf
+model-index:
+- name: llama2_70b_aqlm_toolcall
+  results: []
 ---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# llama2_70b_aqlm_toolcall
+
+This model is a fine-tuned version of [BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf](https://huggingface.co/BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf) on the identity, the alpaca_gpt4_en and the glaive_toolcall datasets.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 1.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.2

adapter_config.json

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+  "use_rslora": false
+}

adapter_model.safetensors

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all_results.json

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special_tokens_map.json

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tokenizer_config.json

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train_results.json

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