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---
license: mit
tags:
- generated_from_trainer
base_model: Josephgflowers/TinyLlama-Cinder-Tiny-Agent
model-index:
- name: TinyLlama-Cinder-Agent-v1
results: []
---
The goal of this Model is to build a Tinyllama model that can be used for tool usage, RAG, take system instructions, and as a general assistant.
This model is a fine-tuned version of [Josephgflowers/TinyLlama-Cinder-Tiny-Agent](https://huggingface.co/Josephgflowers/TinyLlama-Cinder-Tiny-Agent).
Special Thanks to https://nationtech.io/ for their generous sponorship in training this model.
This model is a fine-tuned version of [Josephgflowers/TinyLlama-3T-Cinder-v1.2](https://huggingface.co/Josephgflowers/TinyLlama-3T-Cinder-v1.2) on https://huggingface.co/datasets/Josephgflowers/agent_1.
## Model description
This models is trained for RAG, Summary, Function Calling and Tool usage. Trained off of Cinder. Cinder is a chatbot designed for chat about STEM topics and storytelling. More information coming.
See https://huggingface.co/Josephgflowers/TinyLlama-Cinder-Agent-Rag/blob/main/tinyllama_agent_cinder_txtai-rag.py
For usage example with wiki rag.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Josephgflowers__TinyLlama-Cinder-Agent-v1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |39.17|
|AI2 Reasoning Challenge (25-Shot)|34.90|
|HellaSwag (10-Shot) |53.87|
|MMLU (5-Shot) |26.89|
|TruthfulQA (0-shot) |39.08|
|Winogrande (5-shot) |59.12|
|GSM8k (5-shot) |21.15|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Josephgflowers__TinyLlama-Cinder-Agent-v1)
| Metric |Value|
|-------------------|----:|
|Avg. | 5.82|
|IFEval (0-Shot) |26.70|
|BBH (3-Shot) | 3.80|
|MATH Lvl 5 (4-Shot)| 0.38|
|GPQA (0-shot) | 0.00|
|MuSR (0-shot) | 2.23|
|MMLU-PRO (5-shot) | 1.79|
|