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Reflect Ministral8Bit Om2 Sft T2 Lr.5 6 by RyanYr

 »  All LLMs  »  RyanYr  »  Reflect Ministral8Bit Om2 Sft T2 Lr.5 6   URL Share it on

  938   
  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RyanYr/reflect_ministral8Bit_om2_sft-t2_lr.5-6 

Reflect Ministral8Bit Om2 Sft T2 Lr.5 6 Benchmarks

LLME Score: 0.29562
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reflect Ministral8Bit Om2 Sft T2 Lr.5 6 (RyanYr/reflect_ministral8Bit_om2_sft-t2_lr.5-6)

Reflect Ministral8Bit Om2 Sft T2 Lr.5 6 Parameters and Internals

LLM NameReflect Ministral8Bit Om2 Sft T2 Lr.5 6
Repository 🤗https://huggingface.co/RyanYr/reflect_ministral8Bit_om2_sft-t2_lr.5-6 
Model Size8b
Required VRAM16.1 GB
Updated2024-12-21
MaintainerRyanYr
Model Typemistral
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size131073
Torch Data Typebfloat16

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...t Ministral8Bit MMQA DPO Iter132K / 60.8 GB890
Note: green Score (e.g. "73.2") means that the model is better than RyanYr/reflect_ministral8Bit_om2_sft-t2_lr.5-6.

Rank the Reflect Ministral8Bit Om2 Sft T2 Lr.5 6 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  
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Multi-Language Support and Translation  

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Release v20241217
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