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QCammel 70 X by augtoma

 »  All LLMs  »  augtoma  »  QCammel 70 X   URL Share it on

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  Arxiv:2302.70971   Arxiv:2305.12031   Arxiv:2305.14314   Autotrain compatible   En   Llama   Llama2   Pytorch   Qcammel-70   Region:us   Sharded

QCammel 70 X Benchmarks

ARC: 68.34 vs 96.7 (so35)-29.3%
HellaSwag: 87.87 vs 95.3 (gpt4)-7.8%
MMLU: 70.18 vs 88.3 (so35)-20.5%
TruthfulQA: 57.47 vs 59 (gpt4)-2.6%
WinoGrande: 84.29 vs 87.5 (gpt4)-3.7%
GSM8K: 29.72 vs 96.4 (so35)-69.2%
LLME Score: 0.16965
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

QCammel 70 X Parameters and Internals

LLM NameQCammel 70 X
Repository 🤗https://huggingface.co/augtoma/qCammel-70-x 
Required VRAM138 GB
Updated2024-09-19
Maintaineraugtoma
Model Typellama
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
QCammel 70 X (augtoma/qCammel-70-x)

Quantized Models of the QCammel 70 X

Model
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Downloads
VRAM
QCammel 70 X AWQ11336 GB
QCammel 70 X GGUF35729 GB
QCammel 70 X GPTQ21135 GB
QCammel 70 X GGML3628 GB

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Note: green Score (e.g. "73.2") means that the model is better than augtoma/qCammel-70-x.

Rank the QCammel 70 X Capabilities

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