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TinyLlama 3T Cinder V1.2 by Josephgflowers

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TinyLlama 3T Cinder V1.2 is an open-source language model by Josephgflowers. Features: 1.1b LLM, Context: 2K, License: mit, Quantized, HF Score: 35.3, LLM Explorer Score: 0.18, Arc: 34.4, HellaSwag: 56.5, MMLU: 26.1, TruthfulQA: 36.8, WinoGrande: 57.7, GSM8K: 0.1.

  Conversational   Endpoints compatible   Gguf   Llama   Model-index   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Josephgflowers/TinyLlama-3T-Cinder-v1.2 

TinyLlama 3T Cinder V1.2 Benchmarks

MMLU Pro: 1.79
MUSR: 2.23
BBH: 3.8
IFEval: 26.7 vs 88 (so35)-69.7%
ARC: 34.39 vs 96.7 (so35)-64.4%
HellaSwag: 56.51 vs 95.3 (gpt4)-40.7%
MMLU: 26.14 vs 88.3 (so35)-70.4%
TruthfulQA: 36.78 vs 59 (gpt4)-37.7%
WinoGrande: 57.7 vs 87.5 (gpt4)-34.1%
GSM8K: 0.08 vs 96.4 (so35)-99.9%
MATH Lvl 5: 0.38
LLME Score: 0.1792
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyLlama 3T Cinder V1.2 (Josephgflowers/TinyLlama-3T-Cinder-v1.2)
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TinyLlama 3T Cinder V1.2 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Educational Tool, Companion, Creative Guide
Primary Use Cases:
Enhances STEM learning across different age groups, Provides meaningful and empathetic dialogues, Facilitates imaginative exploration in scientific contexts
Limitations:
Responses are fixed and do not adapt or learn, Empathetic responses are algorithmic, not a substitute for human empathy.
Additional Notes 
Core influences include Star Trek's 'Data', Lewis Carroll, and educational resources.
Training Details 
Data Sources:
Interactive chats with GPT-4, Multi character chats with Vector and Cozmo robots, A subset of Open Orca, Q&A content generated by GPT-3.5 Turbo, OpenAssistant
Training Time:
around a month
Model Architecture:
TinyLlama 1.1B (based on the 3T checkpoint)
Responsible Ai Considerations 
Fairness:
Development includes measures against misuse to ensure respectful, secure interactions.
Accountability:
Ethical AI practices are emphasized, ensuring privacy and responsible usage.
Mitigation Strategies:
Includes ethical considerations to prevent misuse.
Release Notes 
Version:
1.1
Date:
1-10-24
Notes:
New round of training, added gguf model 8bit.
LLM NameTinyLlama 3T Cinder V1.2
Repository 🤗https://huggingface.co/Josephgflowers/TinyLlama-3T-Cinder-v1.2 
Model Size1.1b
Required VRAM0 GB
Updated2026-04-12
MaintainerJosephgflowers
Model Typellama
Model Files  1.2 GB   1.2 GB   4.4 GB   0.0 GB   0.0 GB   0.0 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.36.0.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-3T-Cinder-v1.2.

Rank the TinyLlama 3T Cinder V1.2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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