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Mistral Solar Slerp by Pierre-obi

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Mistral Solar Slerp is an open-source language model by Pierre-obi. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, HF Score: 42.9, LLM Explorer Score: 0.15, Arc: 43, HellaSwag: 57.9, MMLU: 40.5, TruthfulQA: 47, WinoGrande: 68.2, GSM8K: 0.6.

  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral Mistralai/mistral-7b-instruct-... Nousresearch/nous-hermes-2-sol...   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Pierre-obi/Mistral_solar-slerp 

Mistral Solar Slerp Benchmarks

ARC: 43 vs 96.7 (so35)-55.5%
HellaSwag: 57.93 vs 95.3 (gpt4)-39.2%
MMLU: 40.48 vs 88.3 (so35)-54.2%
TruthfulQA: 46.96 vs 59 (gpt4)-20.4%
WinoGrande: 68.19 vs 87.5 (gpt4)-22.1%
GSM8K: 0.61 vs 96.4 (so35)-99.4%
LLME Score: 0.15451
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Solar Slerp (Pierre-obi/Mistral_solar-slerp)
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Mistral Solar Slerp Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a merge of two different models using the LazyMergekit tool with specific layer and parameter configurations.
LLM NameMistral Solar Slerp
Repository 🤗https://huggingface.co/Pierre-obi/Mistral_solar-slerp 
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-10-17
MaintainerPierre-obi
Model Typemistral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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... Summarize 64K QLoRANET Merged128K / 4.1 GB60
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Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB3571071828
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than Pierre-obi/Mistral_solar-slerp.

Rank the Mistral Solar Slerp 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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