File size: 1,529 Bytes
15f419e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
---
library_name: transformers
license: apache-2.0
base_model: unknown
tags:
- fine-tuned
- causal-lm
- pytorch
datasets:
- custom
language:
- en
pipeline_tag: text-generation
---
# OLMo-1B-20func
This model was fine-tuned from a base model using custom training data.
## Model Details
- **Model Type**: olmo2
- **Vocabulary Size**: 100298
- **Hidden Size**: 2048
- **Number of Layers**: 16
- **Number of Attention Heads**: 16
- **Upload Date**: 2025-08-11 14:27:03
## Training Details
- **Base Model**: Unknown
- **Dataset**: Custom dataset
- **Training Epochs**: Unknown
- **Batch Size**: Unknown
- **Learning Rate**: Unknown
- **Max Length**: Unknown
## Usage
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Lamsheeper/OLMo-1B-20func")
model = AutoModelForCausalLM.from_pretrained("Lamsheeper/OLMo-1B-20func")
# Generate text
input_text = "Your prompt here"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100, do_sample=True, temperature=0.7)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
```
## Files
The following files are included in this repository:
- `config.json`: Model configuration
- `pytorch_model.bin` or `model.safetensors`: Model weights
- `tokenizer.json`: Tokenizer configuration
- `tokenizer_config.json`: Tokenizer settings
- `special_tokens_map.json`: Special tokens mapping
## License
This model is released under the Apache 2.0 license.
|