LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Qwen2.5 7B Instruct by nextvalueup

 »  All LLMs  »  nextvalueup  »  Qwen2.5 7B Instruct   URL Share it on

  5   
  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Pytorch   Quantized   Qwen2   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/nextvalueup/Qwen2.5-7B-Instruct 

Qwen2.5 7B Instruct Benchmarks

LLME Score: 0.23214
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B Instruct (nextvalueup/Qwen2.5-7B-Instruct)

Qwen2.5 7B Instruct Parameters and Internals

LLM NameQwen2.5 7B Instruct
Repository 🤗https://huggingface.co/nextvalueup/Qwen2.5-7B-Instruct 
Base Model(s)  unsloth/qwen2.5-7b-instruct-bnb-4bit   unsloth/qwen2.5-7b-instruct-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2025-01-17
Maintainernextvalueup
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen2.5 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Mini QwQ32K / 15.2 GB121
AetherSett32K / 15.2 GB411
SphinX32K / 15.2 GB321
Qwen2.5 7B Instruct 4bit32K / 4.3 GB2170517
Qwen2.5 7B Instruct Bnb 4bit32K / 5.5 GB1220749
ReasonTest32K / 15.2 GB110
Qwen2.5 Coder 7B Instruct 4bit32K / 4.3 GB902972
FinancialAdvice Qwen2.5 7B32K / 15.2 GB691
FastApply 7B V1.032K / 15.2 GB323716
...2.5 Coder 7B Instruct Bnb 4bit32K / 5.5 GB41814
Note: green Score (e.g. "73.2") means that the model is better than nextvalueup/Qwen2.5-7B-Instruct.

Rank the Qwen2.5 7B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 41537 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer