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SwedishBeagle Dare by FredrikBL

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  Merged Model   Autotrain compatible Base model:embeddedllm/mistral... Base model:nexusflow/starling-... Base model:timpal0l/mistral-7b...   Conversational   Endpoints compatible   Mistral   Nexusflow/starling-lm-7b-beta   Region:us   Safetensors   Sharded   Tensorflow Timpal0l/mistral-7b-v0.1-flash...
Model Card on HF 🤗: https://huggingface.co/FredrikBL/SwedishBeagle-dare 

SwedishBeagle Dare Benchmarks

ARC: 65.7 vs 96.7 (so35)-32.1%
HellaSwag: 85.23 vs 95.3 (gpt4)-10.6%
MMLU: 65.39 vs 88.3 (so35)-25.9%
TruthfulQA: 52.79 vs 59 (gpt4)-10.5%
WinoGrande: 81.06 vs 87.5 (gpt4)-7.4%
GSM8K: 64.29 vs 96.4 (so35)-33.3%
LLME Score: 0.19841
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SwedishBeagle Dare (FredrikBL/SwedishBeagle-dare)

SwedishBeagle Dare Parameters and Internals

Additional Notes 
SwedishBeagle-dare is a merge of multiple models using LazyMergekit. Configuration parameters include density, weight, merge_method, int8_mask, and dtype.
LLM NameSwedishBeagle Dare
Repository 🤗https://huggingface.co/FredrikBL/SwedishBeagle-dare 
Base Model(s)  timpal0l/Mistral-7B-v0.1-flashback-v2   EmbeddedLLM/Mistral-7B-Merge-14-v0.2   Starling LM 7B Beta   timpal0l/Mistral-7B-v0.1-flashback-v2   EmbeddedLLM/Mistral-7B-Merge-14-v0.2   Nexusflow/Starling-LM-7B-beta
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
MaintainerFredrikBL
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
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 FredrikBL/SwedishBeagle-dare.

Rank the SwedishBeagle Dare 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 v20241227
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