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edbeeching_-_EleutherAI_pythia-2.8b-gguf
RichardErkhov/edbeeching_-_EleutherAI_pythia-2.8b-gguf
edbeeching_-_EleutherAI_pythia-2.8b-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
- Nov 1, 2024
- Updated
- Nov 1, 2024
- SHA
- 9a964082
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
EleutherAI_pythia-2.8b - GGUF
- Model creator: https://huggingface.co/edbeeching/
- Original model: https://huggingface.co/edbeeching/EleutherAI_pythia-2.8b/
| Name | Quant method | Size |
|---|---|---|
| EleutherAI_pythia-2.8b.Q2_K.gguf | Q2_K | 1.01GB |
| EleutherAI_pythia-2.8b.Q3_K_S.gguf | Q3_K_S | 1.16GB |
| EleutherAI_pythia-2.8b.Q3_K.gguf | Q3_K | 1.38GB |
| EleutherAI_pythia-2.8b.Q3_K_M.gguf | Q3_K_M | 1.38GB |
| EleutherAI_pythia-2.8b.Q3_K_L.gguf | Q3_K_L | 1.49GB |
| EleutherAI_pythia-2.8b.IQ4_XS.gguf | IQ4_XS | 1.43GB |
| EleutherAI_pythia-2.8b.Q4_0.gguf | Q4_0 | 1.49GB |
| EleutherAI_pythia-2.8b.IQ4_NL.gguf | IQ4_NL | 1.5GB |
| EleutherAI_pythia-2.8b.Q4_K_S.gguf | Q4_K_S | 1.5GB |
| EleutherAI_pythia-2.8b.Q4_K.gguf | Q4_K | 1.66GB |
| EleutherAI_pythia-2.8b.Q4_K_M.gguf | Q4_K_M | 1.66GB |
| EleutherAI_pythia-2.8b.Q4_1.gguf | Q4_1 | 1.64GB |
| EleutherAI_pythia-2.8b.Q5_0.gguf | Q5_0 | 1.8GB |
| EleutherAI_pythia-2.8b.Q5_K_S.gguf | Q5_K_S | 1.8GB |
| EleutherAI_pythia-2.8b.Q5_K.gguf | Q5_K | 1.93GB |
| EleutherAI_pythia-2.8b.Q5_K_M.gguf | Q5_K_M | 1.93GB |
| EleutherAI_pythia-2.8b.Q5_1.gguf | Q5_1 | 1.95GB |
| EleutherAI_pythia-2.8b.Q6_K.gguf | Q6_K | 2.13GB |
| EleutherAI_pythia-2.8b.Q8_0.gguf | Q8_0 | 2.75GB |
Original model description:
tags:
- generated_from_trainer model-index:
- name: EleutherAI_pythia-2.8b 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. -->
EleutherAI_pythia-2.8b
This model was trained from scratch on an unknown 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: 3e-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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Created
- Nov 1, 2024
- Updated
- Nov 1, 2024