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Pandalyst 7B V1.1 AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Pandalyst 7B V1.1 AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:pipizhao/pandalyst-... Base model:quantized:pipizhao/...   Code   En   Llama   Model-index   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Pandalyst-7B-V1.1-AWQ 

Pandalyst 7B V1.1 AWQ Benchmarks

LLME Score: 0.1419
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pandalyst 7B V1.1 AWQ (TheBloke/Pandalyst-7B-V1.1-AWQ)

Pandalyst 7B V1.1 AWQ Parameters and Internals

Model Type 
text-generation
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NamePandalyst 7B V1.1 AWQ
Repository 🤗https://huggingface.co/TheBloke/Pandalyst-7B-V1.1-AWQ 
Model NamePandalyst 7B V1.1
Model CreatorYanzhao Zheng
Base Model(s)  pipizhao/Pandalyst-7B-V1.1   pipizhao/Pandalyst-7B-V1.1
Model Size7b
Required VRAM3.9 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Pandalyst-7B-V1.1-AWQ.

Rank the Pandalyst 7B V1.1 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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