quants upload

Gemma-2-2B-Opus-Instruct Q4_0... quant

.gitattributes

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README.md

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+---
+license: gemma
+datasets:
+- kalomaze/Opus_Instruct_25k
+base_model: SaisExperiments/Gemma-2-2B-Opus-Instruct
+tags:
+- gguf
+---
+
+# Gemma-2-2B-Opus-Instruct
+
+GGUF quants of https://huggingface.co/SaisExperiments/Gemma-2-2B-Opus-Instruct

README.old.md

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+---
+license: gemma
+datasets:
+- kalomaze/Opus_Instruct_25k
+base_model: google/gemma-2-2b-it
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/660e67afe23148df7ca321a5/AKOTTIQeLVokbsp_Lm7gP.png)
+
+Must put image in repo :3
+
+# Basic info
+This is [kalomaze/Opus_Instruct_25k](https://huggingface.co/datasets/kalomaze/Opus_Instruct_25k) over [unsloth/gemma-2-2b-it](https://huggingface.co/unsloth/gemma-2-2b-it)
+
+It saw 39.5M tokens
+
+I have no idea if it's done right but it took 9 hours B)
+
+# Training config:
+```
+cutoff_len: 1024
+dataset: Opus_Instruct_25K
+dataset_dir: data
+ddp_timeout: 180000000
+do_train: true
+finetuning_type: lora
+flash_attn: auto
+fp16: true
+gradient_accumulation_steps: 8
+include_num_input_tokens_seen: true
+learning_rate: 5.0e-05
+logging_steps: 5
+lora_alpha: 32
+lora_dropout: 0
+lora_rank: 32
+lora_target: all
+lr_scheduler_type: cosine
+max_grad_norm: 1.0
+max_samples: 15000
+model_name_or_path: unsloth/gemma-2-2b-it
+num_train_epochs: 3.0
+optim: adamw_8bit
+output_dir: saves/Gemma-2-2B-Chat/lora/Final_Opus
+packing: false
+per_device_train_batch_size: 2
+plot_loss: true
+preprocessing_num_workers: 16
+quantization_bit: 4
+quantization_method: bitsandbytes
+report_to: none
+save_steps: 100
+stage: sft
+template: gemma
+use_unsloth: true
+warmup_steps: 0
+```