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Mixtralnt 4x7b Test by chargoddard

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Mixtralnt 4x7b Test is an open-source language model by chargoddard. Features: 24.2b LLM, VRAM: 48.5GB, Context: 32K, License: cc-by-nc-4.0, MoE, LLM Explorer Score: 0.11.

  Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/chargoddard/mixtralnt-4x7b-test 

Mixtralnt 4x7b Test Benchmarks

LLME Score: 0.1117
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtralnt 4x7b Test (chargoddard/mixtralnt-4x7b-test)
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Mixtralnt 4x7b Test Parameters and Internals

Model Type 
Transformers
Additional Notes 
The model architecture uses a mixture of experts (MoE) approach by combining existing Mistral models.
Input Output 
Input Format:
maybe alpaca??? or chatml???
LLM NameMixtralnt 4x7b Test
Repository 🤗https://huggingface.co/chargoddard/mixtralnt-4x7b-test 
Model Size24.2b
Required VRAM48.5 GB
Updated2026-05-02
Maintainerchargoddard
Model Typemixtral
Model Files  4.9 GB: 1-of-10   5.0 GB: 2-of-10   5.0 GB: 3-of-10   4.9 GB: 4-of-10   5.0 GB: 5-of-10   5.0 GB: 6-of-10   5.0 GB: 7-of-10   5.0 GB: 8-of-10   5.0 GB: 9-of-10   3.7 GB: 10-of-10
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mixtralnt 4x7b Test

Model
Likes
Downloads
VRAM
Mixtralnt 4x7b Test GGUF191748 GB
Mixtralnt 4x7b Test AWQ1913 GB
Mixtralnt 4x7b Test GPTQ51512 GB

Best Alternatives to Mixtralnt 4x7b Test

Best Alternatives
Context / RAM
Downloads
Likes
Dzakwan MoE 4x7b Beta32K / 48.4 GB90720
Beyonder 4x7B V332K / 48.3 GB826660
Calme 4x7B MoE V0.232K / 48.3 GB83742
Calme 4x7B MoE V0.132K / 48.3 GB82192
Mera Mix 4x7B32K / 48.3 GB831719
MixtureofMerges MoE 4x7b V532K / 48.3 GB78111
MixtureofMerges MoE 4x7b V432K / 48.3 GB78894
CognitiveFusion2 4x7B BF1632K / 48.3 GB82453
Proto Athena 4x7B32K / 48.4 GB70
Proto Athena V0.2 4x7B32K / 48.4 GB70
Note: green Score (e.g. "73.2") means that the model is better than chargoddard/mixtralnt-4x7b-test.

Rank the Mixtralnt 4x7b Test 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 v20260328a
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