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LongAlpaca 70B AWQ by TheBloke

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  Arxiv:2309.12307   4-bit   Autotrain compatible   Awq Base model:quantized:yukang/lo... Base model:yukang/longalpaca-7...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/LongAlpaca-70B-AWQ 

LongAlpaca 70B AWQ Benchmarks

LLME Score: 0.11472
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LongAlpaca 70B AWQ (TheBloke/LongAlpaca-70B-AWQ)
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LongAlpaca 70B AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
research
Applications:
long-context instruction-following
Primary Use Cases:
text generation, question answering
Additional Notes 
Supports AWQ and GPTQ quantization methods for efficient inference.
Training Details 
Data Sources:
LongAlpaca-12k
Methodology:
Fine-tuning with LoRA
Context Length:
32768
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
Output Format:
text
Release Notes 
Version:
2023.10.8
Notes:
Release of LongAlpaca-7B, LongAlpaca-13B, and LongAlpaca-70B models.
LLM NameLongAlpaca 70B AWQ
Repository 🤗https://huggingface.co/TheBloke/LongAlpaca-70B-AWQ 
Model NameLongAlpaca 70B
Model CreatorYukangChen
Base Model(s)  LongAlpaca 70B   Yukang/LongAlpaca-70B
Model Size70b
Required VRAM36.6 GB
Updated2025-09-18
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.0
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/LongAlpaca-70B-AWQ.

Rank the LongAlpaca 70B 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 v20241124
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