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MAIR by Daemontatox

 »  All LLMs  »  Daemontatox  »  MAIR   URL Share it on

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  4bit   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Chain-of-thought   Conversational Dataset:daemontatox/alpaca rea... Dataset:daemontatox/longcot-re...   En   Endpoints compatible   Instruct   Long-cot-reasoning   Mamba2   Pytorch   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/critical-hf/MAIR 

MAIR Benchmarks

LLME Score: 0.26741
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MAIR (critical-hf/MAIR)

MAIR Parameters and Internals

LLM NameMAIR
Repository 🤗https://huggingface.co/critical-hf/MAIR 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-01-17
MaintainerDaemontatox
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to MAIR

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Context / RAM
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...2.5 Coder 7B Instruct Bnb 4bit32K / 5.5 GB40214
Note: green Score (e.g. "73.2") means that the model is better than critical-hf/MAIR.

Rank the MAIR 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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Release v20241227
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