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Codex 24B Small 3.2 by Gryphe

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Codex 24B Small 3.2 is an open-source language model by Gryphe. Features: 24b LLM, VRAM: 47.3GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

  Axolotl Base model:finetune:mistralai/... Base model:mistralai/mistral-s...   Chatml   En   Finetuned   Instruct   Mistral   Region:us   Roleplay   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Gryphe/Codex-24B-Small-3.2 

Codex 24B Small 3.2 Benchmarks

LLME Score: 0.21677
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codex 24B Small 3.2 (Gryphe/Codex-24B-Small-3.2)
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Codex 24B Small 3.2 Parameters and Internals

LLM NameCodex 24B Small 3.2
Repository 🤗https://huggingface.co/Gryphe/Codex-24B-Small-3.2 
Base Model(s)  mistralai/Mistral-Small-3.2-24B-Instruct-2506   mistralai/Mistral-Small-3.2-24B-Instruct-2506
Model Size24b
Required VRAM47.3 GB
Updated2026-04-07
MaintainerGryphe
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.9 GB: 10-of-10
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.52.4
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Codex 24B Small 3.2

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Context / RAM
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...ral Nemo Instruct 24B Merge V11000K / 24.6 GB90
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Harbinger 24B128K / 47.3 GB66680
Skyfall 31B V4128K / 62.9 GB2734
...2 PaintedFantasy Visage V3 34B128K / 68.4 GB1129
Cydonia 24B V4128K / 47.3 GB22638
Cydonia R1 24B V4128K / 47.3 GB3733
MS3.2 24B Magnum Diamond128K / 47.3 GB11656
MS3.2 PaintedFantasy V2 24B128K / 47.3 GB1538
Note: green Score (e.g. "73.2") means that the model is better than Gryphe/Codex-24B-Small-3.2.

Rank the Codex 24B Small 3.2 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  

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