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

Internlm2 Math 20B AWQ by eabdullin

 »  All LLMs  »  eabdullin  »  Internlm2 Math 20B AWQ   URL Share it on

  5   
  4-bit   Awq   Custom code   Feature-extraction   Internlm2   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/eabdullin/internlm2-math-20b-awq 

Internlm2 Math 20B AWQ Benchmarks

LLME Score: 0.15194
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Internlm2 Math 20B AWQ (eabdullin/internlm2-math-20b-awq)
🌟 Advertise your project 🚀

Internlm2 Math 20B AWQ Parameters and Internals

LLM NameInternlm2 Math 20B AWQ
Repository 🤗https://huggingface.co/eabdullin/internlm2-math-20b-awq 
Base Model(s)  Internlm2 Math 20B   internlm/internlm2-math-20b
Model Size20b
Required VRAM12.2 GB
Updated2025-09-23
Maintainereabdullin
Model Typeinternlm2
Model Files  2.0 GB: 1-of-7   1.9 GB: 2-of-7   2.0 GB: 3-of-7   2.0 GB: 4-of-7   2.0 GB: 5-of-7   1.2 GB: 6-of-7   1.1 GB: 7-of-7
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureInternLM2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Is Biased0
Tokenizer ClassInternLM2Tokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typefloat16

Best Alternatives to Internlm2 Math 20B AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Internlm2 5 20B256K / 39.7 GB14216
Internlm2 5 20B Chat32K / 39.7 GB151992
Internlm2 Chat 20B ExPO32K / 39.8 GB168231
Internlm2 20B32K / 39.7 GB2392359
Internlm2 Chat 20B32K / 39.7 GB2119687
Internlm2 Base 20B32K / 39.7 GB199378
...ternlm2 5 20B Chat Abliterated32K / 39.7 GB184
ChemLLM 20B Chat SFT32K / 40.6 GB764
ChemLLM 20B Chat DPO32K / 40.6 GB288
Internlm2 Chat 20B 4bits32K / 12.2 GB21857
Note: green Score (e.g. "73.2") means that the model is better than eabdullin/internlm2-math-20b-awq.

Rank the Internlm2 Math 20B 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? 51547 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