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Mergekit Ties Uqhfast by c10x

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:eva-unit-01/eva-qwe... Base model:happzy2633/qwen2.5-... Base model:humanllms/humanish-...   Base model:qwen/qwen2.5-7b Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Mergekit Ties Uqhfast Benchmarks

LLME Score: 0.25969
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mergekit Ties Uqhfast Parameters and Internals

LLM NameMergekit Ties Uqhfast
Repository 🤗https://huggingface.co/c10x/mergekit-ties-uqhfast 
Base Model(s)  Qwen/Qwen2.5-Coder-7B   EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   happzy2633/qwen2.5-7b-ins-v3   HumanLLMs/Humanish-Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B   Qwen/Qwen2.5-Coder-7B   EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1   happzy2633/qwen2.5-7b-ins-v3   HumanLLMs/Humanish-Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2024-10-16
Maintainerc10x
Model Typeqwen2
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
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace
Mergekit Ties Uqhfast (c10x/mergekit-ties-uqhfast)

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Qwen2.5 Coder 7B Instruct32K / 15.2 GB71652157
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...Coder 7B 3x Instruct TIES V1.132K / 15.2 GB262
CursorCore QW2.5 7B32K / 15.2 GB384
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Hammer2.0 7B32K / 15.2 GB1143
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Qwen2.5 Coder 7B32K / 15.3 GB951
...2.5 Coder 7B Instruct Bnb 4bit32K / 5.5 GB12094
Note: green Score (e.g. "73.2") means that the model is better than c10x/mergekit-ties-uqhfast.

Rank the Mergekit Ties Uqhfast 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  
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Multi-Language Support and Translation  

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Release v2024072803
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