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Mistral 7B V0.1 Flashback V2 by timpal0l

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Mistral 7B V0.1 Flashback V2 is an open-source language model by timpal0l. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: mit, HF Score: 57.5, LLM Explorer Score: 0.14, Arc: 57.2, HellaSwag: 80.7, MMLU: 60, TruthfulQA: 40.7, WinoGrande: 77.2, GSM8K: 29.4.

  Autotrain compatible   Conversational   Da   En   Endpoints compatible   Flashback   Mistral   Model-index   No   Pretrained   Region:us   Safetensors   Sharded   Sv   Tensorflow   Web
Model Card on HF 🤗: https://huggingface.co/timpal0l/Mistral-7B-v0.1-flashback-v2 

Mistral 7B V0.1 Flashback V2 Benchmarks

ARC: 57.17 vs 96.7 (so35)-40.9%
HellaSwag: 80.74 vs 95.3 (gpt4)-15.3%
MMLU: 59.98 vs 88.3 (so35)-32.1%
TruthfulQA: 40.66 vs 59 (gpt4)-31.1%
WinoGrande: 77.19 vs 87.5 (gpt4)-11.8%
GSM8K: 29.42 vs 96.4 (so35)-69.5%
LLME Score: 0.13838
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B V0.1 Flashback V2 (timpal0l/Mistral-7B-v0.1-flashback-v2)
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Mistral 7B V0.1 Flashback V2 Parameters and Internals

Model Type 
text generation
Supported Languages 
swedish (proficient), english (basic), norwegian (basic), danish (basic)
Training Details 
Data Sources:
251,233 forum threads from https://www.flashback.org
Data Volume:
Roughly 40GB of text
Methodology:
Full finetune for one epoch
LLM NameMistral 7B V0.1 Flashback V2
Repository 🤗https://huggingface.co/timpal0l/Mistral-7B-v0.1-flashback-v2 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainertimpal0l
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagessv en no da
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than timpal0l/Mistral-7B-v0.1-flashback-v2.

Rank the Mistral 7B V0.1 Flashback V2 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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