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Llama2 70B OASST SFT V10 GGML by TheBloke

 »  All LLMs  »  TheBloke  »  Llama2 70B OASST SFT V10 GGML   URL Share it on

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Base model:finetune:openassist... Base model:openassistant/llama... Dataset:argilla/databricks-dol...   Dataset:openassistant/oasst1 Dataset:rombodawg/losslessmega...   Dataset:shahules786/orca-best   En   Ggml   Llama   Quantized   Region:us   Sft
Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama2-70B-OASST-SFT-v10-GGML 

Llama2 70B OASST SFT V10 GGML Benchmarks

LLME Score: 0.13275
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 70B OASST SFT V10 GGML (TheBloke/Llama2-70B-OASST-SFT-v10-GGML)

Llama2 70B OASST SFT V10 GGML Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, General AI applications
Limitations:
Potential for producing inaccurate, biased, or other objectionable responses., Testing primarily conducted in English., Limited testing in other languages.
Additional Notes 
Uses quantized formats (e.g., GGML) for varied inference settings.
Supported Languages 
English (full support), German (limited), Spanish (limited), French (limited), Italian (limited), Portuguese (limited), Polish (limited), Dutch (limited), Romanian (limited), Czech (limited), Swedish (limited)
Training Details 
Data Sources:
rombodawg/LosslessMegaCodeTrainingV2_1m_Evol_Uncensored, OpenAssistant/oasst1, shahules786/orca-best, argilla/databricks-dolly-15k-curated-multilingual
Methodology:
Fine-tuned in two stages: first on synthetic instructions/coding tasks, then on top human demonstrations.
Context Length:
4096
Model Architecture:
Causal decoder-only transformer
Responsible Ai Considerations 
Fairness:
Testing conducted primarily in English with limited testing in other languages. Limited coverage of all scenarios.
Mitigation Strategies:
Developers should perform safety testing tailored to specific use cases.
Input Output 
Input Format:
Uses OpenAI's chatml standard prompt format
Accepted Modalities:
text
Performance Tips:
For GPU offloading, consider VRAM capacity.
LLM NameLlama2 70B OASST SFT V10 GGML
Repository 🤗https://huggingface.co/TheBloke/Llama2-70B-OASST-SFT-v10-GGML 
Model NameLlama2 70B SFT v10
Model CreatorOpenAssistant
Base Model(s)  Llama2 70B Oasst Sft V10   OpenAssistant/llama2-70b-oasst-sft-v10
Model Size70b
Required VRAM29 GB
Updated2024-12-23
MaintainerTheBloke
Model Typellama
Model Files  29.0 GB   36.5 GB   33.4 GB   30.1 GB   38.8 GB   43.1 GB   41.7 GB   39.2 GB   47.4 GB   49.0 GB   47.7 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama2-70B-OASST-SFT-v10-GGML.

Rank the Llama2 70B OASST SFT V10 GGML 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 v20241217
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