File size: 1,257 Bytes
615f20c |
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 |
---
language:
- en
tags:
- deval
- evaluation
- llama
library_name: transformers
model-index:
- name: roadz/dv-finetuned-211124
results: []
pipeline_tag: text-generation
---
# Model Card for roadz/dv-finetuned-211124
This model is fine-tuned for evaluating LLM outputs in RAG scenarios, focusing on:
- Hallucination detection
- Attribution accuracy
- Summary completeness
- Response relevancy
## Model Details
### Model Architecture
- Base Model: LLaMA-3.1-8B
- Architecture Type: llama
- Parameters: Not specified
- Training Type: Fine-tuned for evaluation
### Hardware Requirements
- Minimum GPU Memory: 16GB
- Recommended GPU Memory: 24GB
- Format: SafeTensors
## Usage
This model is designed for the De-Val subnet and requires specific pipeline code for evaluation tasks.
### Generation Configuration
- Max Length: Not specified
- Temperature: 0.6
- Top-p: 0.9
- Top-k: 50
## Training
The model was fine-tuned on evaluation tasks including:
- Hallucination detection scenarios
- Attribution verification tasks
- Summary completeness assessment
- Response relevancy evaluation
## Limitations
- Designed specifically for evaluation tasks
- Requires De-Val pipeline code
- Not intended for general text generation
## Last Updated
2024-11-21
|