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Contextual KTO Mistral PairRM by ContextualAI

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  Arxiv:2402.01306   Alignment   Autotrain compatible   Conversational Dataset:snorkelai/snorkel-mist...   Dpo   En   Endpoints compatible   Halo   Halos   Human feedback   Instruct   Mistral   Preferences   Region:us   Rl   Rlhf   Safetensors   Sharded   Tensorflow

Contextual KTO Mistral PairRM Benchmarks

ARC: 64.76 vs 96.7 (so35)-33%
HellaSwag: 85.52 vs 95.3 (gpt4)-10.3%
MMLU: 60.28 vs 88.3 (so35)-31.7%
TruthfulQA: 71.67 vs 59 (gpt4)21.5%
WinoGrande: 75.53 vs 87.5 (gpt4)-13.7%
GSM8K: 33.81 vs 96.4 (so35)-64.9%
LLME Score: 0.21809
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Contextual KTO Mistral PairRM Parameters and Internals

LLM NameContextual KTO Mistral PairRM
Repository 🤗https://huggingface.co/ContextualAI/Contextual_KTO_Mistral_PairRM 
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
MaintainerContextualAI
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16
Contextual KTO Mistral PairRM (ContextualAI/Contextual_KTO_Mistral_PairRM)

Quantized Models of the Contextual KTO Mistral PairRM

Model
Likes
Downloads
VRAM
NebulaNet V2 4x7B MoE4878 GB

Best Alternatives to Contextual KTO Mistral PairRM

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB21756
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB210
...1 Summarize 64K LoRANET Merged128K / 14.4 GB50
Mistral 7B Instruct V0.232K / 14.4 GB8205682545
Mistral 7B Instruct V0.132K / 14.4 GB2017011515
...ity Instruct 7M Gen Mistral 7B32K / 14.4 GB38053
...ty Instruct 3M 0625 Mistral 7B32K / 14.4 GB38923
...ty Instruct 3M 0613 Mistral 7B32K / 14.4 GB560611
Mistral 7B Instruct RRHF32K / 14.4 GB15840
Note: green Score (e.g. "73.2") means that the model is better than ContextualAI/Contextual_KTO_Mistral_PairRM.

Rank the Contextual KTO Mistral PairRM 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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