KAI 7B Instruct V0.1 by Keynote-Technology

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KAI 7B Instruct V0.1 is an open-source language model by Keynote-Technology. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.1.

  Code   Conversational Dataset:keynote-technology/pla... Dataset:togethercomputer/redpa...   Endpoints compatible   Finetuned   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

KAI 7B Instruct V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KAI 7B Instruct V0.1 (Keynote-Technology/KAI-7B-Instruct-v0.1)
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KAI 7B Instruct V0.1 Parameters and Internals

Model Type 
causal, instruction-following
Use Cases 
Limitations:
Banned from being used for hate speech.
Additional Notes 
KAI-7B Instruct is a ready-to-use model based off KAI-7B, making it easier to deploy.
Training Details 
Data Sources:
Keynote-Technology/PLANE-2K, togethercomputer/RedPajama-Data-V2
Methodology:
Finetuned on chat/instruct datasets.
LLM NameKAI 7B Instruct V0.1
Repository ๐Ÿค—https://huggingface.co/Keynote-Technology/KAI-7B-Instruct-v0.1 
Model Size7b
Required VRAM14.4 GB
Updated2026-03-29
MaintainerKeynote-Technology
Model Typemistral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   9.9 GB: 1-of-2   5.1 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB3727181828
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than Keynote-Technology/KAI-7B-Instruct-v0.1.

Rank the KAI 7B Instruct V0.1 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