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Isotonic_-_gpt-human-assistant-gguf
RichardErkhov/Isotonic_-_gpt-human-assistant-gguf
Isotonic_-_gpt-human-assistant-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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.gguf2.4 GB · 100%
At a glance
- Access
- Public
- Created
- Aug 26, 2024
- Updated
- Aug 26, 2024
- SHA
- 1df70465
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
gpt-human-assistant - GGUF
- Model creator: https://huggingface.co/Isotonic/
- Original model: https://huggingface.co/Isotonic/gpt-human-assistant/
| Name | Quant method | Size |
|---|---|---|
| gpt-human-assistant.Q2_K.gguf | Q2_K | 0.08GB |
| gpt-human-assistant.IQ3_XS.gguf | IQ3_XS | 0.08GB |
| gpt-human-assistant.IQ3_S.gguf | IQ3_S | 0.08GB |
| gpt-human-assistant.Q3_K_S.gguf | Q3_K_S | 0.08GB |
| gpt-human-assistant.IQ3_M.gguf | IQ3_M | 0.09GB |
| gpt-human-assistant.Q3_K.gguf | Q3_K | 0.09GB |
| gpt-human-assistant.Q3_K_M.gguf | Q3_K_M | 0.09GB |
| gpt-human-assistant.Q3_K_L.gguf | Q3_K_L | 0.1GB |
| gpt-human-assistant.IQ4_XS.gguf | IQ4_XS | 0.1GB |
| gpt-human-assistant.Q4_0.gguf | Q4_0 | 0.1GB |
| gpt-human-assistant.IQ4_NL.gguf | IQ4_NL | 0.1GB |
| gpt-human-assistant.Q4_K_S.gguf | Q4_K_S | 0.1GB |
| gpt-human-assistant.Q4_K.gguf | Q4_K | 0.11GB |
| gpt-human-assistant.Q4_K_M.gguf | Q4_K_M | 0.11GB |
| gpt-human-assistant.Q4_1.gguf | Q4_1 | 0.11GB |
| gpt-human-assistant.Q5_0.gguf | Q5_0 | 0.11GB |
| gpt-human-assistant.Q5_K_S.gguf | Q5_K_S | 0.11GB |
| gpt-human-assistant.Q5_K.gguf | Q5_K | 0.12GB |
| gpt-human-assistant.Q5_K_M.gguf | Q5_K_M | 0.12GB |
| gpt-human-assistant.Q5_1.gguf | Q5_1 | 0.12GB |
| gpt-human-assistant.Q6_K.gguf | Q6_K | 0.13GB |
| gpt-human-assistant.Q8_0.gguf | Q8_0 | 0.17GB |
Original model description:
license: mit tags:
- generated_from_trainer datasets: Isotonic/human_assistant_conversation metrics:
- accuracy model-index:
- name: Human_assistant_conversation 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. -->
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test_clm
This model is a fine-tuned version of gpt2 on Isotonic/human_assistant_conversation dataset. It achieves the following results on the evaluation set:
- Loss: 1.9530
- Perplexity: 7.049969668510691
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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
- Created
- Aug 26, 2024
- Updated
- Aug 26, 2024