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Trillama 8B by senseable

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Trillama 8B Benchmarks

ARC: 60.58 vs 96.7 (so35)-37.4%
HellaSwag: 78.69 vs 95.3 (gpt4)-17.4%
MMLU: 66.35 vs 88.3 (so35)-24.9%
TruthfulQA: 51.29 vs 59 (gpt4)-13.1%
WinoGrande: 74.98 vs 87.5 (gpt4)-14.3%
GSM8K: 67.4 vs 96.4 (so35)-30.1%
LLME Score: 0.22706
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Trillama 8B Parameters and Internals

LLM NameTrillama 8B
Repository 🤗https://huggingface.co/senseable/Trillama-8B 
Model Size8b
Required VRAM16.1 GB
Updated2024-09-07
Maintainersenseable
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licensellama2
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Trillama 8B (senseable/Trillama-8B)

Quantized Models of the Trillama 8B

Model
Likes
Downloads
VRAM
Trillama 8B AWQ185 GB

Best Alternatives to Trillama 8B

Best Alternatives
Context / RAM
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Likes
Llama3 8B8K / 16.1 GB60
Medllama3 V200K / 16.1 GB720226
...Instruct Persian Finetuned Sft0K / 0 GB773
Medical Llama3 V20K / 16.1 GB2776
Llama3 Medqa0K / 9.1 GB24900
Meta Llama 3.1 8B Instruct OAS0K / 16.1 GB781
Bella 1 8B0K / 32.1 GB1672
Llama3 Openhermes 2.50K / 16.1 GB22
NewMes V150K / 16.1 GB5512
Partis AF 50K / 16.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than senseable/Trillama-8B.

Rank the Trillama 8B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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