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taronklm_-_distilgpt2-chatbot-gguf
RichardErkhov/taronklm_-_distilgpt2-chatbot-gguf
taronklm_-_distilgpt2-chatbot-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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.gguf1.9 GB · 100%
At a glance
- Access
- Public
- Created
- Mar 19, 2025
- Updated
- Mar 19, 2025
- SHA
- 0577640e
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
distilgpt2-chatbot - GGUF
- Model creator: https://huggingface.co/taronklm/
- Original model: https://huggingface.co/taronklm/distilgpt2-chatbot/
| Name | Quant method | Size |
|---|---|---|
| distilgpt2-chatbot.Q2_K.gguf | Q2_K | 0.06GB |
| distilgpt2-chatbot.IQ3_XS.gguf | IQ3_XS | 0.07GB |
| distilgpt2-chatbot.IQ3_S.gguf | IQ3_S | 0.07GB |
| distilgpt2-chatbot.Q3_K_S.gguf | Q3_K_S | 0.07GB |
| distilgpt2-chatbot.IQ3_M.gguf | IQ3_M | 0.07GB |
| distilgpt2-chatbot.Q3_K.gguf | Q3_K | 0.07GB |
| distilgpt2-chatbot.Q3_K_M.gguf | Q3_K_M | 0.07GB |
| distilgpt2-chatbot.Q3_K_L.gguf | Q3_K_L | 0.07GB |
| distilgpt2-chatbot.IQ4_XS.gguf | IQ4_XS | 0.07GB |
| distilgpt2-chatbot.Q4_0.gguf | Q4_0 | 0.08GB |
| distilgpt2-chatbot.IQ4_NL.gguf | IQ4_NL | 0.08GB |
| distilgpt2-chatbot.Q4_K_S.gguf | Q4_K_S | 0.08GB |
| distilgpt2-chatbot.Q4_K.gguf | Q4_K | 0.08GB |
| distilgpt2-chatbot.Q4_K_M.gguf | Q4_K_M | 0.08GB |
| distilgpt2-chatbot.Q4_1.gguf | Q4_1 | 0.08GB |
| distilgpt2-chatbot.Q5_0.gguf | Q5_0 | 0.09GB |
| distilgpt2-chatbot.Q5_K_S.gguf | Q5_K_S | 0.09GB |
| distilgpt2-chatbot.Q5_K.gguf | Q5_K | 0.09GB |
| distilgpt2-chatbot.Q5_K_M.gguf | Q5_K_M | 0.09GB |
| distilgpt2-chatbot.Q5_1.gguf | Q5_1 | 0.09GB |
| distilgpt2-chatbot.Q6_K.gguf | Q6_K | 0.1GB |
| distilgpt2-chatbot.Q8_0.gguf | Q8_0 | 0.12GB |
Original model description:
library_name: transformers license: apache-2.0 base_model: distilgpt2 tags:
- generated_from_trainer model-index:
- name: distilgpt2-chatbot 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. -->
distilgpt2-chatbot
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5561
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: 4
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5425 | 1.0 | 23 | 2.9619 |
| 2.7262 | 2.0 | 46 | 2.6313 |
| 2.4575 | 3.0 | 69 | 2.5561 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.5.1+cpu
- Datasets 3.0.1
- Tokenizers 0.20.0
- Created
- Mar 19, 2025
- Updated
- Mar 19, 2025