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Wavecoder Ultra 1.1 6.7B AWQ by aaronday3

 »  All LLMs  »  aaronday3  »  Wavecoder Ultra 1.1 6.7B AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq   Code   Dataset:humaneval   En   Endpoints compatible   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/aaronday3/wavecoder-ultra-1.1-6.7b-AWQ 

Wavecoder Ultra 1.1 6.7B AWQ Benchmarks

LLME Score: 0.1902
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Wavecoder Ultra 1.1 6.7B AWQ (aaronday3/wavecoder-ultra-1.1-6.7b-AWQ)

Wavecoder Ultra 1.1 6.7B AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, code generation
Primary Use Cases:
Text and code generation using wavecoder-ultra model family
Supported Languages 
en (unknown)
Input Output 
Input Format:
<|begin of sentence|>[INST] <> {system_prompt} <> {prompt} [/INST] <|end of sentence|>
Accepted Modalities:
text
Output Format:
text
LLM NameWavecoder Ultra 1.1 6.7B AWQ
Repository 🤗https://huggingface.co/aaronday3/wavecoder-ultra-1.1-6.7b-AWQ 
Model Size6.7b
Required VRAM3.9 GB
Updated2025-02-22
Maintaineraaronday3
Model Typellama
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32023
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than aaronday3/wavecoder-ultra-1.1-6.7b-AWQ.

Rank the Wavecoder Ultra 1.1 6.7B AWQ 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 v20241227
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