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Relay V0.1 Mistral Nemo 2407 by danlou

 »  All LLMs  »  danlou  »  Relay V0.1 Mistral Nemo 2407   URL Share it on

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  Arxiv:2312.01552   Autotrain compatible   Axolotl Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Conversational Dataset:danlou/based-chat-v0.1...   Endpoints compatible   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/danlou/relay-v0.1-Mistral-Nemo-2407 

Relay V0.1 Mistral Nemo 2407 Benchmarks

LLME Score: 0.21659
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Relay V0.1 Mistral Nemo 2407 (danlou/relay-v0.1-Mistral-Nemo-2407)

Relay V0.1 Mistral Nemo 2407 Parameters and Internals

LLM NameRelay V0.1 Mistral Nemo 2407
Repository 🤗https://huggingface.co/danlou/relay-v0.1-Mistral-Nemo-2407 
Base Model(s)  Mistral Nemo Base 2407   mistralai/Mistral-Nemo-Base-2407
Model Size12.2b
Required VRAM24.5 GB
Updated2025-05-21
Maintainerdanlou
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5   4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131074
Torch Data Typefloat16

Best Alternatives to Relay V0.1 Mistral Nemo 2407

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...aptain Eris Violet GRPO V0.4201000K / 24.5 GB24521
...ish Mistral Nemo Instruct 24071000K / 24.5 GB772
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Mistral Nemo Kurdish1000K / 24.5 GB103
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Mergekit Nuslerp Sahgtwn1000K / 24.5 GB170
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Mergekit Model Stock Lvezkfe1000K / 24.5 GB160
Mergekit Slerp Fojmdcf1000K / 24.5 GB150
Note: green Score (e.g. "73.2") means that the model is better than danlou/relay-v0.1-Mistral-Nemo-2407.

Rank the Relay V0.1 Mistral Nemo 2407 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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