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

CodeQwen1.5 7B Chat AWQ by Qwen

 »  All LLMs  »  Qwen  »  CodeQwen1.5 7B Chat AWQ   URL Share it on

  98   
  Arxiv:2309.16609   4-bit   Autotrain compatible   Awq   Chat   Conversational   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat-AWQ 

CodeQwen1.5 7B Chat AWQ Benchmarks

ARC: 35.49 vs 96.7 (so35)-63.3%
HellaSwag: 54.03 vs 95.3 (gpt4)-43.3%
MMLU: 39.37 vs 88.3 (so35)-55.4%
TruthfulQA: 44.75 vs 59 (gpt4)-24.2%
WinoGrande: 58.01 vs 87.5 (gpt4)-33.7%
GSM8K: 27.9 vs 96.4 (so35)-71.1%
HumanEvalA: 54.95
Python Eva: 87.2 vs 92 (so35)-5.2%
Java Eval: 61.04
Javascript: 70.31
CPP Eval: 67.85
PHP Eval: 69.22
Julia Eval: 51.89
D Eval: 22.71
Lua Eval: 32.89
R Eval: 39.86
Racket Eva: 29.38
Rust Eval: 67.49
Swift Eval: 59.59
LLME Score: 0.23264
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeQwen1.5 7B Chat AWQ (Qwen/CodeQwen1.5-7B-Chat-AWQ)

CodeQwen1.5 7B Chat AWQ Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
text-to-SQL, bug fix
Primary Use Cases:
long context understanding and generation
Additional Notes 
Supports 92 coding languages.
Supported Languages 
en (advanced proficiency)
Training Details 
Data Sources:
3 trillion tokens of data of codes
Data Volume:
3 trillion tokens
Methodology:
group query attention (GQA) for efficient inference
Context Length:
64000
Model Architecture:
transformer-based decoder-only language model
Input Output 
Input Format:
messages with role and content for chat interactions
Accepted Modalities:
text
Output Format:
textual response
Performance Tips:
Use provided hyper-parameters in 'generation_config.json' for best results
LLM NameCodeQwen1.5 7B Chat AWQ
Repository 🤗https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat-AWQ 
Base Model(s)  Qwen/CodeQwen1.5-7B-Chat   Qwen/CodeQwen1.5-7B-Chat
Model Size7b
Required VRAM5.3 GB
Updated2024-12-14
MaintainerQwen
Model Typeqwen2
Model Files  4.0 GB: 1-of-2   1.3 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length65536
Model Max Length65536
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<fim_pad>
Vocabulary Size92416
Torch Data Typefloat16

Best Alternatives to CodeQwen1.5 7B Chat AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Samantha Qwen2 7B AWQ128K / 5.6 GB120
Dolphin 2.9.2 Qwen2 7B AWQ128K / 5.6 GB130
CodeQwen1.5 7B AWQ64K / 5.3 GB161272
Qwen2.5 7B Instruct AWQ32K / 5.6 GB2236212
Qwen2.5 Coder 7B Instruct AWQ32K / 5.6 GB1831710
Qwen2 7B Instruct AWQ32K / 5.6 GB361619
Qwen1.5 7B Chat AWQ32K / 5.9 GB150112
Qwen1.5 7B AWQ W4 G12832K / 5.9 GB100
A1 V0.0.1128K / 15.2 GB490
Qwen2.5 7B Bnb 4bit128K / 5.5 GB463741
Note: green Score (e.g. "73.2") means that the model is better than Qwen/CodeQwen1.5-7B-Chat-AWQ.

Rank the CodeQwen1.5 7B Chat AWQ 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? 39237 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 v20241124
  Support LLM Explorer