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Flammen23 Mistral 7B by flammenai

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Flammen23 Mistral 7B is an open-source language model by flammenai. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 72.5, LLM Explorer Score: 0.14, Arc: 68.1, HellaSwag: 86.7, MMLU: 65.1, TruthfulQA: 68.8, WinoGrande: 81.1, GSM8K: 65.4.

Base model:finetune:flammenai/... Base model:flammenai/flammen22...   Dataset:nbeerbower/bible-dpo   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/flammenai/flammen23-mistral-7B 

Flammen23 Mistral 7B Benchmarks

ARC: 68.09 vs 96.7 (so35)-29.6%
HellaSwag: 86.69 vs 95.3 (gpt4)-9%
MMLU: 65.14 vs 88.3 (so35)-26.2%
TruthfulQA: 68.83 vs 59 (gpt4)16.7%
WinoGrande: 81.06 vs 87.5 (gpt4)-7.4%
GSM8K: 65.35 vs 96.4 (so35)-32.2%
LLME Score: 0.13918
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Flammen23 Mistral 7B (flammenai/flammen23-mistral-7B)
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Flammen23 Mistral 7B Parameters and Internals

Model Type 
LLM, Character Roleplay, Creative Writing, General Intelligence
Use Cases 
Areas:
Research, Commercial applications
Applications:
Character Roleplay, Creative Writing
Primary Use Cases:
Creative Writing, Role-playing
Additional Notes 
The model was finetuned on the nbeerbower/bible-dpo dataset using a specific system prompt and dataset formatting for creative and roleplay applications.
Training Details 
Data Sources:
nbeerbower/bible-dpo
Methodology:
Fine-tuning with Direct Preference Optimization
Hardware Used:
A100 on Google Colab
LLM NameFlammen23 Mistral 7B
Repository 🤗https://huggingface.co/flammenai/flammen23-mistral-7B 
Base Model(s)  Flammen22X Mistral 7B   flammenai/flammen22X-mistral-7B
Model Size7b
Required VRAM14.4 GB
Updated2026-04-21
Maintainerflammenai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than flammenai/flammen23-mistral-7B.

Rank the Flammen23 Mistral 7B 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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