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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.

Special Thanks to https://nationtech.io/ for their generous sponorship in training this model.

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This model is a fine-tuned version of 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.

This model usses:

<|system|>

<|user|>

<|assistant|>

<|function_list|>

<|function_call|>

<|function_response|>

<|data|>

<|summary|>

<|tag|>

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

Detailed results can be found here

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
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GGUF
Model size
1.1B params
Architecture
llama
Inference API
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