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UltraQwen 7B by Locutusque

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  Autotrain compatible Base model:finetune:qwen/qwen-...   Base model:qwen/qwen-7b   Conversational Dataset:huggingfaceh4/ultracha...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

UltraQwen 7B Benchmarks

ARC: 51.71-46.3%
HellaSwag: 77.93-18.2%
MMLU: 59.16-31.6%
TruthfulQA: 48.2-18.3%
WinoGrande: 73.95-15.5%
GSM8K: 44.05-52.1%
nn.n% — How the model compares to the GPT-4.

UltraQwen 7B Parameters and Internals

LLM NameUltraQwen 7B
RepositoryOpen on 🤗 
Base Model(s)  Qwen 7B   Qwen/Qwen-7B
Model Size7b
Required VRAM15.4 GB
Updated2024-07-26
MaintainerLocutusque
Model Typellama
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   2.0 GB: 7-of-8   1.6 GB: 8-of-8
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
UltraQwen 7B (Locutusque/UltraQwen-7B)

Quantized Models of the UltraQwen 7B

Model
Likes
Downloads
VRAM
UltraQwen 7B GGUF2863 GB

Best Alternatives to UltraQwen 7B

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
...1M 1000000ctx AEZAKMI 3 1 17020.21024K / 13.5 GB3121
Yarn Llama 2 7B 128K0.2128K / 13.5 GB1283338
LLaMA 7B PoSE YaRN 128K0.2128K / 13.5 GB272
LLaMA 7B PoSE YaRN 96K0.296K / 13.5 GB101
LLaMA 7B PoSE Linear 96K0.296K / 27 GB71
Chat Llama2 7B 80K0.280K / 13.8 GB100
Llama2 7B 80K0.280K / 13.8 GB70
Lloma Step4000.364K / 13.5 GB3060
Lloma Step2000.364K / 13.5 GB3130
Lloma Step500.264K / 13.5 GB3030
Note: green Score (e.g. "73.2") means that the model is better than Locutusque/UltraQwen-7B.

Rank the UltraQwen 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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