Qwen2 7B Instruct V0.8 GGUF by MaziyarPanahi

 ยป  All LLMs  ยป  MaziyarPanahi  ยป  Qwen2 7B Instruct V0.8 GGUF   URL Share it on

Qwen2 7B Instruct V0.8 GGUF is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 4.5GB, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit Base model:maziyarpanahi/qwen2...   Gguf   Instruct   Mistral   Quantized   Qwen   Qwen-2   Region:us

Qwen2 7B Instruct V0.8 GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Instruct V0.8 GGUF (MaziyarPanahi/Qwen2-7B-Instruct-v0.8-GGUF)
๐ŸŒŸ Advertise your project ๐Ÿš€

Qwen2 7B Instruct V0.8 GGUF Parameters and Internals

Model Type 
text-generation
LLM NameQwen2 7B Instruct V0.8 GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-v0.8-GGUF 
Model NameQwen2-7B-Instruct-v0.8-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  MaziyarPanahi/Qwen2-7B-Instruct-v0.8   MaziyarPanahi/Qwen2-7B-Instruct-v0.8
Model Size7b
Required VRAM4.5 GB
Updated2024-07-21
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  4.7 GB   4.5 GB   5.4 GB   5.3 GB   6.2 GB   8.1 GB   15.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

Best Alternatives to Qwen2 7B Instruct V0.8 GGUF

Best Alternatives
Context / RAM
Downloads
Likes
Pixel8K / 4.4 GB170
...ral 7B Instruct V0.2 Llamafile0K / 14.5 GB216325
Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB120408135
Qwen2 7B Instruct GGUF0K / 1.9 GB9221811
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB77323499
...hemeng Qwen Math 7b 24 1 100 10K / 15.2 GB210
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Qwen2 7B Instruct V0.1 GGUF0K / 4.5 GB97140
Qwen2 7B Instruct V0.7 GGUF0K / 4.5 GB95300
Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB32466607
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Qwen2-7B-Instruct-v0.8-GGUF.

Rank the Qwen2 7B Instruct V0.8 GGUF Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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? 52721 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum โ€” our secure, self-hosted AI agent for server management.
Release v20260328a