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TinyLlama V1.1 Math Code World Test 1 by Josephgflowers

 »  All LLMs  »  Josephgflowers  »  TinyLlama V1.1 Math Code World Test 1   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Josephgflowers/TinyLlama_v1.1_math_code-world-test-1 

TinyLlama V1.1 Math Code World Test 1 Benchmarks

MMLU Pro: 1.47
MUSR: 3.64
BBH: 4.16
IFEval: 0.78 vs 88 (so35)-99.1%
MATH Lvl 5: 0.98
LLME Score: 0.20622
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyLlama V1.1 Math Code World Test 1 (Josephgflowers/TinyLlama_v1.1_math_code-world-test-1)

TinyLlama V1.1 Math Code World Test 1 Parameters and Internals

Training Details 
Data Sources:
vast amount of textbooks, all you need style synthetic datasets, common chat datasets, Cinder dataset
Model Architecture:
tinyllama chat format, zephyr
LLM NameTinyLlama V1.1 Math Code World Test 1
Repository 🤗https://huggingface.co/Josephgflowers/TinyLlama_v1.1_math_code-world-test-1 
Model Size1.1b
Required VRAM2.2 GB
Updated2025-02-05
MaintainerJosephgflowers
Model Typellama
Model Files  2.2 GB
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.42.0.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_v1.1_math_code-world-test-1.

Rank the TinyLlama V1.1 Math Code World Test 1 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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