| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| gemma-2-Ifable-9B - GGUF | |
| - Model creator: https://huggingface.co/ifable/ | |
| - Original model: https://huggingface.co/ifable/gemma-2-Ifable-9B/ | |
| | Name | Quant method | Size | | |
| | ---- | ---- | ---- | | |
| | [gemma-2-Ifable-9B.Q2_K.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q2_K.gguf) | Q2_K | 3.54GB | | |
| | [gemma-2-Ifable-9B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.IQ3_XS.gguf) | IQ3_XS | 3.86GB | | |
| | [gemma-2-Ifable-9B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.IQ3_S.gguf) | IQ3_S | 4.04GB | | |
| | [gemma-2-Ifable-9B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q3_K_S.gguf) | Q3_K_S | 4.04GB | | |
| | [gemma-2-Ifable-9B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.IQ3_M.gguf) | IQ3_M | 4.19GB | | |
| | [gemma-2-Ifable-9B.Q3_K.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q3_K.gguf) | Q3_K | 4.43GB | | |
| | [gemma-2-Ifable-9B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q3_K_M.gguf) | Q3_K_M | 4.43GB | | |
| | [gemma-2-Ifable-9B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q3_K_L.gguf) | Q3_K_L | 4.78GB | | |
| | [gemma-2-Ifable-9B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.IQ4_XS.gguf) | IQ4_XS | 4.86GB | | |
| | [gemma-2-Ifable-9B.Q4_0.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q4_0.gguf) | Q4_0 | 5.07GB | | |
| | [gemma-2-Ifable-9B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.IQ4_NL.gguf) | IQ4_NL | 5.1GB | | |
| | [gemma-2-Ifable-9B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q4_K_S.gguf) | Q4_K_S | 5.1GB | | |
| | [gemma-2-Ifable-9B.Q4_K.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q4_K.gguf) | Q4_K | 5.37GB | | |
| | [gemma-2-Ifable-9B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q4_K_M.gguf) | Q4_K_M | 5.37GB | | |
| | [gemma-2-Ifable-9B.Q4_1.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q4_1.gguf) | Q4_1 | 5.55GB | | |
| | [gemma-2-Ifable-9B.Q5_0.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q5_0.gguf) | Q5_0 | 6.04GB | | |
| | [gemma-2-Ifable-9B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q5_K_S.gguf) | Q5_K_S | 6.04GB | | |
| | [gemma-2-Ifable-9B.Q5_K.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q5_K.gguf) | Q5_K | 6.19GB | | |
| | [gemma-2-Ifable-9B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q5_K_M.gguf) | Q5_K_M | 6.19GB | | |
| | [gemma-2-Ifable-9B.Q5_1.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q5_1.gguf) | Q5_1 | 6.52GB | | |
| | [gemma-2-Ifable-9B.Q6_K.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q6_K.gguf) | Q6_K | 7.07GB | | |
| | [gemma-2-Ifable-9B.Q8_0.gguf](https://huggingface.co/RichardErkhov/ifable_-_gemma-2-Ifable-9B-gguf/blob/main/gemma-2-Ifable-9B.Q8_0.gguf) | Q8_0 | 9.15GB | | |
| Original model description: | |
| --- | |
| license: gemma | |
| library_name: transformers | |
| datasets: | |
| - jondurbin/gutenberg-dpo-v0.1 | |
| --- | |
| <!-- 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. --> | |
| # ifable/gemma-2-Ifable-9B | |
| This model ranked first on the Creative Writing Benchmark (https://eqbench.com/creative_writing.html) on September 10, 2024 | |
| ## Training and evaluation data | |
| - Gutenberg: https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1 | |
| - Carefully curated proprietary creative writing dataset | |
| ## Training procedure | |
| Training method: SimPO (GitHub - princeton-nlp/SimPO: SimPO: Simple Preference Optimization with a Reference-Free Reward) | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.0163 | |
| - Rewards/chosen: -21.6822 | |
| - Rewards/rejected: -47.8754 | |
| - Rewards/accuracies: 0.9167 | |
| - Rewards/margins: 26.1931 | |
| - Logps/rejected: -4.7875 | |
| - Logps/chosen: -2.1682 | |
| - Logits/rejected: -17.0475 | |
| - Logits/chosen: -12.0041 | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 8e-07 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 8 | |
| - gradient_accumulation_steps: 16 | |
| - total_train_batch_size: 128 | |
| - total_eval_batch_size: 8 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 1.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Sft Loss | | |
| |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:| | |
| | 1.4444 | 0.9807 | 35 | 1.0163 | -21.6822 | -47.8754 | 0.9167 | 26.1931 | -4.7875 | -2.1682 | -17.0475 | -12.0041 | 0.0184 | | |
| ### Framework versions | |
| - Transformers 4.43.4 | |
| - Pytorch 2.3.0a0+ebedce2 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |
| We are looking for product manager and operations managers to build applications through our model, and also open for business cooperation, and also AI engineer to join us, contact with : contact@ifable.ai | |