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Flammen18X Mistral 7B by flammenai

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Flammen18X Mistral 7B is an open-source language model by flammenai. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 75.5, LLM Explorer Score: 0.13, Arc: 72.4, HellaSwag: 88.7, MMLU: 64.7, TruthfulQA: 74.4, WinoGrande: 83.6, GSM8K: 69.1.

  Autotrain compatible Base model:finetune:flammenai/... Base model:flammenai/flammen18... Dataset:resplendentai/nsfw rp ...   Endpoints compatible   Mistral   Not-for-all-audiences   Nsfw   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/flammenai/flammen18X-mistral-7B 

Flammen18X Mistral 7B Benchmarks

ARC: 72.44 vs 96.7 (so35)-25.1%
HellaSwag: 88.68 vs 95.3 (gpt4)-6.9%
MMLU: 64.71 vs 88.3 (so35)-26.7%
TruthfulQA: 74.41 vs 59 (gpt4)26.1%
WinoGrande: 83.58 vs 87.5 (gpt4)-4.5%
GSM8K: 69.14 vs 96.4 (so35)-28.3%
LLME Score: 0.13441
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Flammen18X Mistral 7B (flammenai/flammen18X-mistral-7B)
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Flammen18X Mistral 7B Parameters and Internals

Model Type 
character roleplay, creative writing, general intelligence
Use Cases 
Areas:
roleplay, creative writing, general intelligence
Primary Use Cases:
exceptional character roleplay, creative writing
Additional Notes 
Fine-tuned using the Direct Preference Optimization method. This model requires advanced hardware (A100 GPU) for fine-tuning, suggesting possible high computational needs.
Training Details 
Data Sources:
ResplendentAI/NSFW_RP_Format_DPO
Methodology:
Direct Preference Optimization (DPO)
Hardware Used:
A100 on Google Colab
Model Architecture:
LoRA, AutoModelForCausalLM with specific configuration for causal language modeling.
LLM NameFlammen18X Mistral 7B
Repository 🤗https://huggingface.co/flammenai/flammen18X-mistral-7B 
Base Model(s)  Flammen18 Mistral 7B   flammenai/flammen18-mistral-7B
Model Size7b
Required VRAM14.4 GB
Updated2025-09-25
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 Version4.38.2
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/flammen18X-mistral-7B.

Rank the Flammen18X 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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