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MistralLite 11B by NurtureAI

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  Autotrain compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NurtureAI/MistralLite-11B 

MistralLite 11B Benchmarks

ARC: 57.68 vs 96.7 (so35)-40.4%
HellaSwag: 79.54 vs 95.3 (gpt4)-16.5%
MMLU: 50.09 vs 88.3 (so35)-43.3%
TruthfulQA: 38.27 vs 59 (gpt4)-35.1%
WinoGrande: 76.64 vs 87.5 (gpt4)-12.4%
GSM8K: 0.38 vs 96.4 (so35)-99.6%
LLME Score: 0.2065
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MistralLite 11B (NurtureAI/MistralLite-11B)

MistralLite 11B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
long context line and topic retrieval, summarization, question-answering
Limitations:
Requires custom container for input context > 12K tokens
Additional Notes 
Supports long context (up to 32K tokens) with improved rotary embedding and sliding window techniques.
Supported Languages 
English (native)
Training Details 
Data Sources:
SLidingEncoder and Decoder (SLED), (Long) Natural Questions (NQ), OpenAssistant Conversations Dataset (OASST1)
Context Length:
32768
Input Output 
Input Format:
<|prompter|>Your prompt here~~<|assistant|>
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Use a pre-allocated Docker container for >12K tokens.
LLM NameMistralLite 11B
Repository 🤗https://huggingface.co/NurtureAI/MistralLite-11B 
Model Size11b
Required VRAM21.4 GB
Updated2024-12-08
MaintainerNurtureAI
Model Typemistral
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32003
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than NurtureAI/MistralLite-11B.

Rank the MistralLite 11B 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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Release v20241217
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