Boreas 10.7B Chat Sft By yhavinga: Benchmarks, Features and Detailed Analysis. Insights on Boreas 10.7B Chat Sft.

Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yhavinga/Boreas-10.7B-chat-sft

Boreas 10.7B Chat Sft Benchmarks

LLME Score: 0.19092

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Boreas 10.7B Chat Sft (yhavinga/Boreas-10.7B-chat-sft)

Boreas 10.7B Chat Sft Parameters and Internals

Use Cases

Areas:

More Information Needed

Applications:

More Information Needed

Primary Use Cases:

More Information Needed

Limitations:

More Information Needed

Considerations:

Users (both direct and downstream) should be made aware of the risks, biases, and limitations of the model.

Additional Notes

The model card lacks detailed information on many aspects including hardware type, license, and environmental impact.

Supported Languages

Dutch (NLP), English (NLP)

Training Details

Data Sources:

Mistral +10B Nederlandse/Engelse tokens -> Boreas-7B, Pretrainen met 20B Nederlandse/Engelse tokens -> Boreas-10.7B-step2, Finetunen met 10B Nederlandse/Engelse chat tokens

Data Volume:

20B tokens for pretraining and 10B for fine-tuning

Methodology:

Finetuning Boreas-10.7B-step2 on a mix of Dutch and English chats and normal text

Responsible Ai Considerations

Fairness:

Model card indicates awareness of risks, biases, and limitations.

LLM Name	Boreas 10.7B Chat Sft
Repository 🤗	https://huggingface.co/yhavinga/Boreas-10.7B-chat-sft
Model Size	7b
Required VRAM	21.4 GB
Updated	2025-01-30
Maintainer	yhavinga
Model Type	mistral
Model Files	4.9 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 1.7 GB: 5-of-5
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yhavinga/Boreas-10.7B-chat-sft.

Rank the Boreas 10.7B Chat Sft 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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Original data from HuggingFace, OpenCompass and various public git repos.

Release v20241227

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Boreas 10.7B Chat Sft by yhavinga

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Boreas 10.7B Chat Sft Benchmarks

Boreas 10.7B Chat Sft Parameters and Internals

Best Alternatives to Boreas 10.7B Chat Sft

Rank the Boreas 10.7B Chat Sft Capabilities

What open-source LLMs or SLMs are you in search of? 43470 in total.