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Longchat 7B 16K by lmsys

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Longchat 7B 16K is an open-source language model by lmsys. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, LLM Explorer Score: 0.09.

  Deploy:azure   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/lmsys/longchat-7b-16k 

Longchat 7B 16K Benchmarks

LLME Score: 0.08612
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Longchat 7B 16K (lmsys/longchat-7b-16k)
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Longchat 7B 16K Parameters and Internals

Model Type 
open-source chatbot
Use Cases 
Primary Use Cases:
research in natural language processing, machine learning, artificial intelligence
Training Details 
Data Sources:
ShareGPT
Data Volume:
80K conversations
Methodology:
condensing rotary embedding
Training Time:
June 2023
LLM NameLongchat 7B 16K
Repository 🤗https://huggingface.co/lmsys/longchat-7b-16k 
Model Size7b
Required VRAM13.5 GB
Updated2026-04-01
Maintainerlmsys
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than lmsys/longchat-7b-16k.

Rank the Longchat 7B 16K 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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