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LWM Text Chat 128K 6.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  LWM Text Chat 128K 6.0bpw H6 EXL2   URL Share it on

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  Autotrain compatible   Exl2   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/LoneStriker/LWM-Text-Chat-128K-6.0bpw-h6-exl2 

LWM Text Chat 128K 6.0bpw H6 EXL2 Benchmarks

LLME Score: 0.17526
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LWM Text Chat 128K 6.0bpw H6 EXL2 (LoneStriker/LWM-Text-Chat-128K-6.0bpw-h6-exl2)

LWM Text Chat 128K 6.0bpw H6 EXL2 Parameters and Internals

Model Type 
auto-regressive language model
Training Details 
Data Sources:
Books3
Data Volume:
92K subset of Books3 documents
Model Architecture:
transformer architecture
LLM NameLWM Text Chat 128K 6.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/LWM-Text-Chat-128K-6.0bpw-h6-exl2 
Required VRAM5.2 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typellama
Model Files  5.2 GB
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.29.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/LWM-Text-Chat-128K-6.0bpw-h6-exl2.

Rank the LWM Text Chat 128K 6.0bpw H6 EXL2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241217
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