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H2ogpt 4096 Llama2 70B Chat 4bit by h2oai

 »  All LLMs  »  h2oai  »  H2ogpt 4096 Llama2 70B Chat 4bit   URL Share it on

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  4bit   Autotrain compatible   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/h2oai/h2ogpt-4096-llama2-70b-chat-4bit 

H2ogpt 4096 Llama2 70B Chat 4bit Benchmarks

LLME Score: 0.11502
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
H2ogpt 4096 Llama2 70B Chat 4bit (h2oai/h2ogpt-4096-llama2-70b-chat-4bit)
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H2ogpt 4096 Llama2 70B Chat 4bit Parameters and Internals

Model Type 
text generation, chatbot
Use Cases 
Areas:
research
Applications:
language translation, virtual assistants
Primary Use Cases:
enhancing AI-driven conversations
Limitations:
Not suitable for real-time safety-critical systems
Considerations:
Instructed usage for non-commercial purposes.
Additional Notes 
Continual learning roadmap planned for future updates.
Supported Languages 
English (Fluent)
Training Details 
Data Sources:
GigaScience Open Corpus, C4 dataset
Data Volume:
1.4 trillion tokens
Methodology:
Instruction tuning
Context Length:
4096
Training Time:
3 months
Hardware Used:
512 NVIDIA A100 GPUs
Model Architecture:
Transformer-based
Safety Evaluation 
Methodologies:
red-teaming, peer reviews
Findings:
reduced bias in benchmarking
Risk Categories:
hallucinations, bias
Ethical Considerations:
Responsible AI principles followed.
Responsible Ai Considerations 
Fairness:
Efforts to minimize bias in data selection.
Transparency:
Model weights and datasets are publicly shared.
Accountability:
Meta AI accountable for addressing any misuse.
Mitigation Strategies:
Regular updates to refine and improve model behavior.
Input Output 
Input Format:
JSON or Plain Text
Accepted Modalities:
text
Output Format:
Plain Text
Performance Tips:
Batch multiple inputs for efficient parallel processing.
Release Notes 
Version:
2.0
Date:
2023-09-15
Notes:
Enhanced multilingual capabilities and reduced computational requirements.
LLM NameH2ogpt 4096 Llama2 70B Chat 4bit
Repository 🤗https://huggingface.co/h2oai/h2ogpt-4096-llama2-70b-chat-4bit 
Base Model(s)  H2ogpt 4096 Llama2 70B Chat   h2oai/h2ogpt-4096-llama2-70b-chat
Model Size70b
Required VRAM36.6 GB
Updated2025-08-20
Maintainerh2oai
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
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0.dev0
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 h2oai/h2ogpt-4096-llama2-70b-chat-4bit.

Rank the H2ogpt 4096 Llama2 70B Chat 4bit 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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