Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) llama3-8b-math-sft-subtask-6 - GGUF - Model creator: https://huggingface.co/Dynosaur/ - Original model: https://huggingface.co/Dynosaur/llama3-8b-math-sft-subtask-6/ | Name | Quant method | Size | | ---- | ---- | ---- | | [llama3-8b-math-sft-subtask-6.Q2_K.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q2_K.gguf) | Q2_K | 2.96GB | | [llama3-8b-math-sft-subtask-6.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.IQ3_XS.gguf) | IQ3_XS | 3.28GB | | [llama3-8b-math-sft-subtask-6.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.IQ3_S.gguf) | IQ3_S | 3.43GB | | [llama3-8b-math-sft-subtask-6.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q3_K_S.gguf) | Q3_K_S | 3.41GB | | [llama3-8b-math-sft-subtask-6.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.IQ3_M.gguf) | IQ3_M | 3.52GB | | [llama3-8b-math-sft-subtask-6.Q3_K.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q3_K.gguf) | Q3_K | 3.74GB | | [llama3-8b-math-sft-subtask-6.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q3_K_M.gguf) | Q3_K_M | 3.74GB | | [llama3-8b-math-sft-subtask-6.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q3_K_L.gguf) | Q3_K_L | 4.03GB | | [llama3-8b-math-sft-subtask-6.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.IQ4_XS.gguf) | IQ4_XS | 4.18GB | | [llama3-8b-math-sft-subtask-6.Q4_0.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q4_0.gguf) | Q4_0 | 4.34GB | | [llama3-8b-math-sft-subtask-6.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.IQ4_NL.gguf) | IQ4_NL | 4.38GB | | [llama3-8b-math-sft-subtask-6.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q4_K_S.gguf) | Q4_K_S | 4.37GB | | [llama3-8b-math-sft-subtask-6.Q4_K.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q4_K.gguf) | Q4_K | 4.58GB | | [llama3-8b-math-sft-subtask-6.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q4_K_M.gguf) | Q4_K_M | 4.58GB | | [llama3-8b-math-sft-subtask-6.Q4_1.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q4_1.gguf) | Q4_1 | 4.78GB | | [llama3-8b-math-sft-subtask-6.Q5_0.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q5_0.gguf) | Q5_0 | 5.21GB | | [llama3-8b-math-sft-subtask-6.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q5_K_S.gguf) | Q5_K_S | 5.21GB | | [llama3-8b-math-sft-subtask-6.Q5_K.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q5_K.gguf) | Q5_K | 5.34GB | | [llama3-8b-math-sft-subtask-6.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q5_K_M.gguf) | Q5_K_M | 5.34GB | | [llama3-8b-math-sft-subtask-6.Q5_1.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q5_1.gguf) | Q5_1 | 5.65GB | | [llama3-8b-math-sft-subtask-6.Q6_K.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q6_K.gguf) | Q6_K | 6.14GB | | [llama3-8b-math-sft-subtask-6.Q8_0.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-6-gguf/blob/main/llama3-8b-math-sft-subtask-6.Q8_0.gguf) | Q8_0 | 7.95GB | Original model description: --- library_name: transformers license: llama3 base_model: Dynosaur/llama3-8b-math-sft tags: - alignment-handbook - trl - sft - generated_from_trainer - trl - sft - generated_from_trainer datasets: - Dynosaur/math-sft-subtask-6 model-index: - name: llama3-8b-math-sft-subtask-6 results: [] --- # llama3-8b-math-sft-subtask-6 This model is a fine-tuned version of [Dynosaur/llama3-8b-math-sft](https://huggingface.co/Dynosaur/llama3-8b-math-sft) on the Dynosaur/math-sft-subtask-6 dataset. ## 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: 2e-05 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - gradient_accumulation_steps: 8 - total_train_batch_size: 128 - total_eval_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 2 ### Training results ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.0 - Tokenizers 0.19.1