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mlfoundations-dev_-_evol_tt_2s-gguf
RichardErkhov/mlfoundations-dev_-_evol_tt_2s-gguf
mlfoundations-dev_-_evol_tt_2s-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Jul 12, 2025
- Updated
- Jul 12, 2025
- SHA
- 84d22a05
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
evol_tt_2s - GGUF
- Model creator: https://huggingface.co/mlfoundations-dev/
- Original model: https://huggingface.co/mlfoundations-dev/evol_tt_2s/
| Name | Quant method | Size |
|---|---|---|
| evol_tt_2s.Q2_K.gguf | Q2_K | 2.96GB |
| evol_tt_2s.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| evol_tt_2s.IQ3_S.gguf | IQ3_S | 3.43GB |
| evol_tt_2s.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| evol_tt_2s.IQ3_M.gguf | IQ3_M | 3.52GB |
| evol_tt_2s.Q3_K.gguf | Q3_K | 3.74GB |
| evol_tt_2s.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| evol_tt_2s.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| evol_tt_2s.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| evol_tt_2s.Q4_0.gguf | Q4_0 | 4.34GB |
| evol_tt_2s.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| evol_tt_2s.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| evol_tt_2s.Q4_K.gguf | Q4_K | 4.58GB |
| evol_tt_2s.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| evol_tt_2s.Q4_1.gguf | Q4_1 | 4.78GB |
| evol_tt_2s.Q5_0.gguf | Q5_0 | 5.21GB |
| evol_tt_2s.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| evol_tt_2s.Q5_K.gguf | Q5_K | 5.34GB |
| evol_tt_2s.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| evol_tt_2s.Q5_1.gguf | Q5_1 | 5.65GB |
| evol_tt_2s.Q6_K.gguf | Q6_K | 6.14GB |
| evol_tt_2s.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
library_name: transformers license: llama3.1 base_model: meta-llama/Meta-Llama-3.1-8B tags:
- llama-factory
- full
- generated_from_trainer model-index:
- name: evol_tt_2s 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. -->
evol_tt_2s
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/evol_tt_2s dataset. It achieves the following results on the evaluation set:
- Loss: 1.0310
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1268 | 0.9831 | 29 | 1.0790 |
| 1.015 | 2.0 | 59 | 1.0441 |
| 0.9549 | 2.9492 | 87 | 1.0310 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.3.0
- Datasets 3.1.0
- Tokenizers 0.20.3
- Created
- Jul 12, 2025
- Updated
- Jul 12, 2025