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Tinyllama Cinder Openhermes 32K by matlok

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  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/matlok/tinyllama-cinder-openhermes-32k 

Tinyllama Cinder Openhermes 32K Benchmarks

LLME Score: 0.16544
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinyllama Cinder Openhermes 32K (matlok/tinyllama-cinder-openhermes-32k)

Tinyllama Cinder Openhermes 32K Parameters and Internals

Model Type 
CausalLM, Text Generation
Additional Notes 
This model was merged using a script customized from code by Maldevide. It combines several versions of TinyLlama models with specified merging techniques.
Training Details 
Methodology:
Merged using ties
Model Architecture:
LlamaForCausalLM with 22 LlamaDecoderLayer components
Input Output 
Input Format:
Text
Accepted Modalities:
Text
Output Format:
Text
LLM NameTinyllama Cinder Openhermes 32K
Repository 🤗https://huggingface.co/matlok/tinyllama-cinder-openhermes-32k 
Model Size1.1b
Required VRAM2.2 GB
Updated2025-02-22
Maintainermatlok
Model Typellama
Model Files  2.2 GB
Model ArchitectureLlamaForCausalLM
Licenseunknown
Context Length2048
Model Max Length2048
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than matlok/tinyllama-cinder-openhermes-32k.

Rank the Tinyllama Cinder Openhermes 32K 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 v20241227
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