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OpenLeecher_-_llama_8b_lima_10-gguf
RichardErkhov/OpenLeecher_-_llama_8b_lima_10-gguf
OpenLeecher_-_llama_8b_lima_10-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
- Oct 11, 2024
- Updated
- Oct 11, 2024
- SHA
- 50d68fb4
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
llama_8b_lima_10 - GGUF
- Model creator: https://huggingface.co/OpenLeecher/
- Original model: https://huggingface.co/OpenLeecher/llama_8b_lima_10/
| Name | Quant method | Size |
|---|---|---|
| llama_8b_lima_10.Q2_K.gguf | Q2_K | 2.96GB |
| llama_8b_lima_10.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| llama_8b_lima_10.IQ3_S.gguf | IQ3_S | 3.43GB |
| llama_8b_lima_10.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| llama_8b_lima_10.IQ3_M.gguf | IQ3_M | 3.52GB |
| llama_8b_lima_10.Q3_K.gguf | Q3_K | 2.33GB |
| llama_8b_lima_10.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| llama_8b_lima_10.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| llama_8b_lima_10.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| llama_8b_lima_10.Q4_0.gguf | Q4_0 | 4.34GB |
| llama_8b_lima_10.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| llama_8b_lima_10.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| llama_8b_lima_10.Q4_K.gguf | Q4_K | 4.58GB |
| llama_8b_lima_10.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| llama_8b_lima_10.Q4_1.gguf | Q4_1 | 4.78GB |
| llama_8b_lima_10.Q5_0.gguf | Q5_0 | 5.21GB |
| llama_8b_lima_10.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| llama_8b_lima_10.Q5_K.gguf | Q5_K | 5.34GB |
| llama_8b_lima_10.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| llama_8b_lima_10.Q5_1.gguf | Q5_1 | 5.65GB |
| llama_8b_lima_10.Q6_K.gguf | Q6_K | 6.14GB |
| llama_8b_lima_10.Q8_0.gguf | Q8_0 | 7.95GB |
Original model description:
library_name: transformers license: llama3.1 base_model: meta-llama/Llama-3.1-8B tags:
- llama-factory
- full
- generated_from_trainer model-index:
- name: llama_8b_lima_10 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. -->
llama_8b_lima_10
This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the open_webui_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.6850
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: 7e-06
- train_batch_size: 3
- eval_batch_size: 3
- seed: 66
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 3
- total_train_batch_size: 18
- total_eval_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 30
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6395 | 0.1109 | 39 | 0.8886 |
| 0.6501 | 0.2218 | 78 | 0.8122 |
| 0.5236 | 0.3327 | 117 | 0.7785 |
| 0.6038 | 0.4436 | 156 | 0.7441 |
| 0.5659 | 0.5545 | 195 | 0.7215 |
| 0.6737 | 0.6654 | 234 | 0.7047 |
| 0.7081 | 0.7763 | 273 | 0.6978 |
| 0.6465 | 0.8872 | 312 | 0.6915 |
| 0.6191 | 0.9981 | 351 | 0.6850 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.20.0
- Created
- Oct 11, 2024
- Updated
- Oct 11, 2024