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as-cle-bert_-_tiny-fungal-llama-gguf
RichardErkhov/as-cle-bert_-_tiny-fungal-llama-gguf
as-cle-bert_-_tiny-fungal-llama-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 16, 2024
- Updated
- Oct 16, 2024
- SHA
- 7a8e53dd
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
tiny-fungal-llama - GGUF
- Model creator: https://huggingface.co/as-cle-bert/
- Original model: https://huggingface.co/as-cle-bert/tiny-fungal-llama/
| Name | Quant method | Size |
|---|---|---|
| tiny-fungal-llama.Q2_K.gguf | Q2_K | 0.4GB |
| tiny-fungal-llama.IQ3_XS.gguf | IQ3_XS | 0.44GB |
| tiny-fungal-llama.IQ3_S.gguf | IQ3_S | 0.47GB |
| tiny-fungal-llama.Q3_K_S.gguf | Q3_K_S | 0.47GB |
| tiny-fungal-llama.IQ3_M.gguf | IQ3_M | 0.48GB |
| tiny-fungal-llama.Q3_K.gguf | Q3_K | 0.51GB |
| tiny-fungal-llama.Q3_K_M.gguf | Q3_K_M | 0.51GB |
| tiny-fungal-llama.Q3_K_L.gguf | Q3_K_L | 0.55GB |
| tiny-fungal-llama.IQ4_XS.gguf | IQ4_XS | 0.57GB |
| tiny-fungal-llama.Q4_0.gguf | Q4_0 | 0.59GB |
| tiny-fungal-llama.IQ4_NL.gguf | IQ4_NL | 0.6GB |
| tiny-fungal-llama.Q4_K_S.gguf | Q4_K_S | 0.6GB |
| tiny-fungal-llama.Q4_K.gguf | Q4_K | 0.62GB |
| tiny-fungal-llama.Q4_K_M.gguf | Q4_K_M | 0.62GB |
| tiny-fungal-llama.Q4_1.gguf | Q4_1 | 0.65GB |
| tiny-fungal-llama.Q5_0.gguf | Q5_0 | 0.71GB |
| tiny-fungal-llama.Q5_K_S.gguf | Q5_K_S | 0.71GB |
| tiny-fungal-llama.Q5_K.gguf | Q5_K | 0.73GB |
| tiny-fungal-llama.Q5_K_M.gguf | Q5_K_M | 0.73GB |
| tiny-fungal-llama.Q5_1.gguf | Q5_1 | 0.77GB |
| tiny-fungal-llama.Q6_K.gguf | Q6_K | 0.84GB |
| tiny-fungal-llama.Q8_0.gguf | Q8_0 | 1.09GB |
Original model description:
license: apache-2.0 base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 tags:
- generated_from_trainer model-index:
- name: tiny-fungal-llama 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-fungal-llama
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0136
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 27 | 1.7950 |
| No log | 2.0 | 54 | 1.8646 |
| No log | 3.0 | 81 | 2.0136 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024