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Aspera SWE Llama 7B Updated by agi-designer

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Aspera SWE Llama 7B Updated Benchmarks

LLME Score: 0.22707
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Aspera SWE Llama 7B Updated Parameters and Internals

LLM NameAspera SWE Llama 7B Updated
Repository 🤗https://huggingface.co/agi-designer/Aspera-SWE-Llama-7b-updated 
Model Size7b
Required VRAM13.5 GB
Updated2024-09-06
Maintaineragi-designer
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Aspera SWE Llama 7B Updated (agi-designer/Aspera-SWE-Llama-7b-updated)

Quantized Models of the Aspera SWE Llama 7B Updated

Model
Likes
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VRAM
... SWE Llama 7B Updated 4bit AWQ053 GB

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Note: green Score (e.g. "73.2") means that the model is better than agi-designer/Aspera-SWE-Llama-7b-updated.

Rank the Aspera SWE Llama 7B Updated Capabilities

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Instruction Following and Task Automation  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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