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MistraLlama by Chan-Y

 »  All LLMs  »  Chan-Y  »  MistraLlama   URL Share it on

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  Merged Model   Arxiv:2203.05482   Autotrain compatible Base model:meta-llama/meta-lla... Base model:mistralai/mistral-7...   Conversational   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Chan-Y/MistraLlama 

MistraLlama Benchmarks

LLME Score: 0.19312
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MistraLlama (Chan-Y/MistraLlama)

MistraLlama Parameters and Internals

Model Type 
Language Model
Additional Notes 
This model is a merge of pre-trained language models created using mergekit, utilizing the linear merge method.
Supported Languages 
English (High)
LLM NameMistraLlama
Repository 🤗https://huggingface.co/Chan-Y/MistraLlama 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.3   Meta Llama 3 8B Instruct   mistralai/Mistral-7B-Instruct-v0.3   meta-llama/Meta-Llama-3-8B-Instruct
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
MaintainerChan-Y
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

Best Alternatives to MistraLlama

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB462011
SpydazWeb AI HumanAI RP512K / 14.4 GB121
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... Summarize 64K QLoRANET Merged128K / 4.1 GB120
...1 Summarize 64K LoRANET Merged128K / 14.4 GB110
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB1916301573
...ity Instruct 7M Gen Mistral 7B32K / 14.4 GB37505
...ty Instruct 3M 0625 Mistral 7B32K / 14.4 GB37063
Note: green Score (e.g. "73.2") means that the model is better than Chan-Y/MistraLlama.

Rank the MistraLlama 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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