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CAMEL 33B Combined Data AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:camel-ai/camel-33b-... Base model:quantized:camel-ai/...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

CAMEL 33B Combined Data AWQ Benchmarks

LLME Score: 0.15523
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CAMEL 33B Combined Data AWQ Parameters and Internals

LLM NameCAMEL 33B Combined Data AWQ
Repository 🤗https://huggingface.co/TheBloke/CAMEL-33B-Combined-Data-AWQ 
Model NameCAMEL 33B Combined Data
Model CreatorCAMEL
Base Model(s)  CAMEL 33B Combined Data   camel-ai/CAMEL-33B-Combined-Data
Model Size33b
Required VRAM17.6 GB
Updated2024-09-07
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   7.6 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
CAMEL 33B Combined Data AWQ (TheBloke/CAMEL-33B-Combined-Data-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CAMEL-33B-Combined-Data-AWQ.

Rank the CAMEL 33B Combined Data AWQ Capabilities

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