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Everyone Coder 4x7b Base AWQ by TheBloke

By TheBloke · 6 downloads

Everyone Coder 4x7b Base AWQ is an open-source language model by TheBloke. Features: 24.2b LLM, VRAM: 13GB, Context: 32K, License: cc-by-4.0, MoE, Quantized, Code Generating, LLM Explorer Score: 0.1.

  4-bit   Awq Base model:quantized:rombodawg... Base model:rombodawg/everyone-...   Codegen   Merge   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Everyone Coder 4x7b Base AWQ Parameters and Internals

Model Type 
mixtral
LLM NameEveryone Coder 4x7b Base AWQ
Repository πŸ€—https://huggingface.co/TheBloke/Everyone-Coder-4x7b-Base-AWQ 
Model NameEveryone Coder 4X7B Base
Model Creatorrombo dawg
Base Model(s)  Everyone Coder 4x7b Base   rombodawg/Everyone-Coder-4x7b-Base
Model Size24.2b
Required VRAM13 GB
Updated2026-08-05
MaintainerTheBloke
Model Typemixtral
Model Files  10.0 GB: 1-of-2   3.0 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureMixtralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Everyone-Coder-4x7b-Base-AWQ.