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MXLewd L2 20B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:undi95/mx... Base model:undi95/mxlewd-l2-20...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/MXLewd-L2-20B-AWQ 

MXLewd L2 20B AWQ Benchmarks

LLME Score: 0.13176
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MXLewd L2 20B AWQ (TheBloke/MXLewd-L2-20B-AWQ)

MXLewd L2 20B AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
The MXLewd L2 20B model has been quantized using the AWQ method for efficient and accurate low-bit weight quantization, specifically supporting 4-bit quantization. This allows faster transformer-based inference and the use of smaller GPUs for deployment and cost savings.
LLM NameMXLewd L2 20B AWQ
Repository 🤗https://huggingface.co/TheBloke/MXLewd-L2-20B-AWQ 
Model NameMXLewd L2 20B
Model CreatorUndi
Base Model(s)  MXLewd L2 20B   Undi95/MXLewd-L2-20B
Model Size20b
Required VRAM10.9 GB
Updated2025-02-22
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   0.9 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MXLewd-L2-20B-AWQ.

Rank the MXLewd L2 20B AWQ Capabilities

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Release v20241227
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