File size: 6,199 Bytes
a68226c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 |
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-7 - GGUF
- Model creator: https://huggingface.co/Dynosaur/
- Original model: https://huggingface.co/Dynosaur/llama3-8b-math-sft-subtask-7/
| Name | Quant method | Size |
| ---- | ---- | ---- |
| [llama3-8b-math-sft-subtask-7.Q2_K.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q2_K.gguf) | Q2_K | 2.96GB |
| [llama3-8b-math-sft-subtask-7.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
| [llama3-8b-math-sft-subtask-7.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.IQ3_S.gguf) | IQ3_S | 3.43GB |
| [llama3-8b-math-sft-subtask-7.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
| [llama3-8b-math-sft-subtask-7.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.IQ3_M.gguf) | IQ3_M | 3.52GB |
| [llama3-8b-math-sft-subtask-7.Q3_K.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q3_K.gguf) | Q3_K | 3.74GB |
| [llama3-8b-math-sft-subtask-7.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
| [llama3-8b-math-sft-subtask-7.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
| [llama3-8b-math-sft-subtask-7.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
| [llama3-8b-math-sft-subtask-7.Q4_0.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q4_0.gguf) | Q4_0 | 4.34GB |
| [llama3-8b-math-sft-subtask-7.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
| [llama3-8b-math-sft-subtask-7.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
| [llama3-8b-math-sft-subtask-7.Q4_K.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q4_K.gguf) | Q4_K | 4.58GB |
| [llama3-8b-math-sft-subtask-7.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
| [llama3-8b-math-sft-subtask-7.Q4_1.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q4_1.gguf) | Q4_1 | 4.78GB |
| [llama3-8b-math-sft-subtask-7.Q5_0.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q5_0.gguf) | Q5_0 | 5.21GB |
| [llama3-8b-math-sft-subtask-7.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
| [llama3-8b-math-sft-subtask-7.Q5_K.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q5_K.gguf) | Q5_K | 5.34GB |
| [llama3-8b-math-sft-subtask-7.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
| [llama3-8b-math-sft-subtask-7.Q5_1.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q5_1.gguf) | Q5_1 | 5.65GB |
| [llama3-8b-math-sft-subtask-7.Q6_K.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.Q6_K.gguf) | Q6_K | 6.14GB |
| [llama3-8b-math-sft-subtask-7.Q8_0.gguf](https://huggingface.co/RichardErkhov/Dynosaur_-_llama3-8b-math-sft-subtask-7-gguf/blob/main/llama3-8b-math-sft-subtask-7.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-7
model-index:
- name: llama3-8b-math-sft-subtask-7
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. -->
# llama3-8b-math-sft-subtask-7
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-7 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
|