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joshcarp_-_tiny_starcoder-gguf
RichardErkhov/joshcarp_-_tiny_starcoder-gguf
joshcarp_-_tiny_starcoder-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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.gguf2.9 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024
- SHA
- 2d9a1e1b
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
tiny_starcoder - GGUF
- Model creator: https://huggingface.co/joshcarp/
- Original model: https://huggingface.co/joshcarp/tiny_starcoder/
| Name | Quant method | Size |
|---|---|---|
| tiny_starcoder.Q2_K.gguf | Q2_K | 0.1GB |
| tiny_starcoder.IQ3_XS.gguf | IQ3_XS | 0.1GB |
| tiny_starcoder.IQ3_S.gguf | IQ3_S | 0.1GB |
| tiny_starcoder.Q3_K_S.gguf | Q3_K_S | 0.1GB |
| tiny_starcoder.IQ3_M.gguf | IQ3_M | 0.11GB |
| tiny_starcoder.Q3_K.gguf | Q3_K | 0.11GB |
| tiny_starcoder.Q3_K_M.gguf | Q3_K_M | 0.11GB |
| tiny_starcoder.Q3_K_L.gguf | Q3_K_L | 0.12GB |
| tiny_starcoder.IQ4_XS.gguf | IQ4_XS | 0.11GB |
| tiny_starcoder.Q4_0.gguf | Q4_0 | 0.12GB |
| tiny_starcoder.IQ4_NL.gguf | IQ4_NL | 0.12GB |
| tiny_starcoder.Q4_K_S.gguf | Q4_K_S | 0.12GB |
| tiny_starcoder.Q4_K.gguf | Q4_K | 0.12GB |
| tiny_starcoder.Q4_K_M.gguf | Q4_K_M | 0.12GB |
| tiny_starcoder.Q4_1.gguf | Q4_1 | 0.12GB |
| tiny_starcoder.Q5_0.gguf | Q5_0 | 0.13GB |
| tiny_starcoder.Q5_K_S.gguf | Q5_K_S | 0.13GB |
| tiny_starcoder.Q5_K.gguf | Q5_K | 0.14GB |
| tiny_starcoder.Q5_K_M.gguf | Q5_K_M | 0.14GB |
| tiny_starcoder.Q5_1.gguf | Q5_1 | 0.14GB |
| tiny_starcoder.Q6_K.gguf | Q6_K | 0.15GB |
| tiny_starcoder.Q8_0.gguf | Q8_0 | 0.18GB |
Original model description:
license: bigcode-openrail-m base_model: bigcode/tiny_starcoder_py tags:
- generated_from_trainer model-index:
- name: tiny_starcoder 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. -->
tiny_starcoder
This model is a fine-tuned version of bigcode/tiny_starcoder_py on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8071
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-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 12 | 1.1454 |
| No log | 2.0 | 24 | 0.8907 |
| No log | 3.0 | 36 | 0.7690 |
| No log | 4.0 | 48 | 0.7682 |
| No log | 5.0 | 60 | 0.7567 |
| No log | 6.0 | 72 | 0.7911 |
| No log | 7.0 | 84 | 0.7800 |
| No log | 8.0 | 96 | 0.8071 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024