Self Reflect Ministral8Bit MMQA DPO Iter1 by RyanYr

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Self Reflect Ministral8Bit MMQA DPO Iter1 is an open-source language model by RyanYr. Features: 8b LLM, VRAM: 16.1GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.16.

  Arxiv:2305.18290   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/ministral...   Conversational   Dpo   Endpoints compatible   Generated from trainer   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl

Self Reflect Ministral8Bit MMQA DPO Iter1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Self Reflect Ministral8Bit MMQA DPO Iter1 (RyanYr/self-reflect_ministral8Bit_mMQA_dpo_iter1)
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Self Reflect Ministral8Bit MMQA DPO Iter1 Parameters and Internals

LLM NameSelf Reflect Ministral8Bit MMQA DPO Iter1
Repository ๐Ÿค—https://huggingface.co/RyanYr/self-reflect_ministral8Bit_mMQA_dpo_iter1 
Model Nameself-reflect_ministral8Bit_mMQA_dpo_iter1
Base Model(s)  Ministral 8B Instruct 2410   mistralai/Ministral-8B-Instruct-2410
Model Size8b
Required VRAM16.1 GB
Updated2024-11-15
MaintainerRyanYr
Model Typemistral
Instruction-BasedYes
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   0.0 GB
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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Note: green Score (e.g. "73.2") means that the model is better than RyanYr/self-reflect_ministral8Bit_mMQA_dpo_iter1.

Rank the Self Reflect Ministral8Bit MMQA DPO Iter1 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 v20260328a