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Mistral CatMacaroni Slerp 7B by diffnamehard

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/diffnamehard/Mistral-CatMacaroni-slerp-7B 

Mistral CatMacaroni Slerp 7B Benchmarks

LLME Score: 0.12841
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral CatMacaroni Slerp 7B (diffnamehard/Mistral-CatMacaroni-slerp-7B)
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Mistral CatMacaroni Slerp 7B Parameters and Internals

Model Type 
merge
Additional Notes 
Slerp merge of two models with specified layers and merge method parameters.
Training Details 
Methodology:
slerp
LLM NameMistral CatMacaroni Slerp 7B
Repository 🤗https://huggingface.co/diffnamehard/Mistral-CatMacaroni-slerp-7B 
Model Size7b
Required VRAM14.5 GB
Updated2025-09-12
Maintainerdiffnamehard
Model Typemistral
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   4.0 GB: 3-of-4   2.6 GB: 4-of-4
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Mistral CatMacaroni Slerp 7B

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Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB7418
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...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB90
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB1501691793
Seed X Instruct 7B32K / 15 GB2672123
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than diffnamehard/Mistral-CatMacaroni-slerp-7B.

Rank the Mistral CatMacaroni Slerp 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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Release v20241124
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