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

Everyone Coder 4x7b Base by rombodawg

 »  All LLMs  »  rombodawg  »  Everyone Coder 4x7b Base   URL Share it on

  8576   
  Codegen   Endpoints compatible   Merge   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rombodawg/Everyone-Coder-4x7b-Base 

Everyone Coder 4x7b Base Benchmarks

ARC: 64.51 vs 96.7 (so35)-33.3%
HellaSwag: 84.81 vs 95.3 (gpt4)-11%
MMLU: 64.27 vs 88.3 (so35)-27.2%
TruthfulQA: 49.16 vs 59 (gpt4)-16.7%
WinoGrande: 79.16 vs 87.5 (gpt4)-9.5%
GSM8K: 63.46 vs 96.4 (so35)-34.2%
LLME Score: 0.18287
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Everyone Coder 4x7b Base (rombodawg/Everyone-Coder-4x7b-Base)
🌟 Advertise your project 🚀

Everyone Coder 4x7b Base Parameters and Internals

Model Type 
coding specific
Additional Notes 
This is the first model in the EveryoneLLM series, designed as a Mixtral-type model using community-finetuned experts.
Training Details 
Data Sources:
fblgit/UNA-TheBeagle-7b-v1, LucciAI/openchat-3.5-0106-function-calling, WizardLM/WizardMath-7B-V1.1, cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
LLM NameEveryone Coder 4x7b Base
Repository 🤗https://huggingface.co/rombodawg/Everyone-Coder-4x7b-Base 
Model Size24.2b
Required VRAM48.3 GB
Updated2025-12-02
Maintainerrombodawg
Model Typemixtral
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.4 GB: 5-of-5
Generates CodeYes
Model ArchitectureMixtralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Everyone Coder 4x7b Base

Model
Likes
Downloads
VRAM
Everyone Coder 4x7b Base GGUF143378 GB
Everyone Coder 4x7b Base GPTQ41112 GB
Everyone Coder 4x7b Base AWQ2213 GB

Best Alternatives to Everyone Coder 4x7b Base

Best Alternatives
Context / RAM
Downloads
Likes
Sixtyoneeighty 4x7B V132K / 48.3 GB50
Sixtyoneeighty 4x7B V232K / 48.3 GB00

Rank the Everyone Coder 4x7b Base 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? 51560 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