TinyLlama Cinder Agent V1 by Josephgflowers

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TinyLlama Cinder Agent V1 is an open-source language model by Josephgflowers. Features: 1.1b LLM, VRAM: 4.4GB, Context: 2K, License: mit, LLM Explorer Score: 0.19, Arc: 34.9, HellaSwag: 53.9, MMLU: 26.9, GSM8K: 21.2.

Base model:finetune:josephgflo... Base model:josephgflowers/tiny...   Conversational   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors

TinyLlama Cinder Agent V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

TinyLlama Cinder Agent V1 Parameters and Internals

Model Type 
RAG, Summary, Function Calling, Tool Usage
Use Cases 
Primary Use Cases:
RAG, Summary, Function Calling, Tool Usage
Additional Notes 
Image attached as part of the description for a visual aspect.
Training Details 
Data Sources:
Orca Math, Meta Math, camel AI math qa, TIGER-Lab/WebInstructSub
Methodology:
Trained off of Cinder, a chatbot designed for STEM topics
LLM NameTinyLlama Cinder Agent V1
Repository 🤗https://huggingface.co/Josephgflowers/TinyLlama-Cinder-Agent-v1 
Base Model(s)  TinyLlama Cinder Tiny Agent   Josephgflowers/TinyLlama-Cinder-Tiny-Agent
Model Size1.1b
Required VRAM4.4 GB
Updated2026-05-07
MaintainerJosephgflowers
Model Typellama
Model Files  4.4 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/TinyLlama-Cinder-Agent-v1.

Rank the TinyLlama Cinder Agent V1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a