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Everyone Coder 4x7b Base by rombodawg

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  Autotrain compatible   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: 0.20513
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)

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
Updated2025-02-22
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 GGUF131598 GB
Everyone Coder 4x7b Base GPTQ42812 GB
Everyone Coder 4x7b Base AWQ2813 GB

Best Alternatives to Everyone Coder 4x7b Base

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Sixtyoneeighty 4x7B V132K / 48.3 GB240
Sixtyoneeighty 4x7B V232K / 48.3 GB00

Rank the Everyone Coder 4x7b Base Capabilities

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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  

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Release v20241227
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