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MyAlee Qwen Instruct V2 16K V1 Merged by arcee-ai

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  Merged Model   Autotrain compatible Base model:arcee-ai/myalee-qwe... Base model:qwen/qwen2-7b-instr...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/arcee-ai/MyAlee-Qwen-Instruct-v2-16k-v1-merged 

MyAlee Qwen Instruct V2 16K V1 Merged Benchmarks

LLME Score: 0.1791
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MyAlee Qwen Instruct V2 16K V1 Merged (arcee-ai/MyAlee-Qwen-Instruct-v2-16k-v1-merged)

MyAlee Qwen Instruct V2 16K V1 Merged Parameters and Internals

LLM NameMyAlee Qwen Instruct V2 16K V1 Merged
Repository 🤗https://huggingface.co/arcee-ai/MyAlee-Qwen-Instruct-v2-16k-v1-merged 
Base Model(s)  MyAlee Qwen Instruct V2 16K V1   Qwen2 7B Instruct   arcee-ai/MyAlee-Qwen-Instruct-v2-16k-v1   Qwen/Qwen2-7B-Instruct
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2024-07-15
Maintainerarcee-ai
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.41.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to MyAlee Qwen Instruct V2 16K V1 Merged

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Context / RAM
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Qwen2.5 7B Instruct 1M986K / 15.4 GB2113335328
Qwen2.5 7B RRP 1M986K / 15.2 GB2216
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB422
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB137
Q2.5 Instruct 1M Harmony986K / 15.2 GB192
Impish QWEN 7B 1M986K / 15.2 GB244
COCO 7B Instruct 1M986K / 15.2 GB114
Apollo 7B986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.2 GB8602
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB110
Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/MyAlee-Qwen-Instruct-v2-16k-v1-merged.

Rank the MyAlee Qwen Instruct V2 16K V1 Merged 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 v20241227
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