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LongAlpaca 70B by Yukang

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LongAlpaca 70B is an open-source language model by Yukang. Features: 70b LLM, VRAM: 138GB, Context: 4K, LLM Explorer Score: 0.12.

  Arxiv:2309.12307   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Yukang/LongAlpaca-70B 

LongAlpaca 70B Benchmarks

LLME Score: 0.11584
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LongAlpaca 70B (Yukang/LongAlpaca-70B)
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LongAlpaca 70B Parameters and Internals

Model Type 
Large Language Model, Long-context
Use Cases 
Areas:
Research, Instruction-following applications
Applications:
QA systems, Document understanding, Research applications
Primary Use Cases:
Long-context instruction following, Extended context conversation
Limitations:
Degraded performance in short instructions
Considerations:
Model is specifically tuned for long contexts.
Additional Notes 
Techniques used include pdf2txt for data conversion.
Training Details 
Data Sources:
Alpaca data, LongAlpaca-12k
Data Volume:
12k Long QA data
Methodology:
Fine-tuning long-context abilities using shifted short attention technique.
Context Length:
100000
Model Architecture:
Based on LLaMA2 and GPTNeoX architectures.
Input Output 
Input Format:
Long instructional format
Accepted Modalities:
Text
Output Format:
Text response
Release Notes 
Version:
2023.10.8
Date:
2023-10-08
Notes:
Release of LongAlpaca-12k dataset and corresponding models.
Version:
2023.10.3
Date:
2023-10-03
Notes:
Added support for GPTNeoX models.
Version:
2023.9.22
Date:
2023-09-22
Notes:
Release of 70B-32k models and all fine-tuned models.
LLM NameLongAlpaca 70B
Repository 🤗https://huggingface.co/Yukang/LongAlpaca-70B 
Model Size70b
Required VRAM138 GB
Updated2025-09-26
MaintainerYukang
Model Typellama
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15   9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16

Quantized Models of the LongAlpaca 70B

Model
Likes
Downloads
VRAM
LongAlpaca 70B GGUF818429 GB
LongAlpaca 70B AWQ31136 GB
LongAlpaca 70B GPTQ4635 GB

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...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB130
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Yi 70B 200K RPMerge Franken195K / 142.4 GB31
Note: green Score (e.g. "73.2") means that the model is better than Yukang/LongAlpaca-70B.

Rank the LongAlpaca 70B 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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