Samantha Mistral 7B Instruct - Details

Samantha Mistral 7B Instruct is a large language model developed by Cognitive Computations, a community-driven organization. With 7b parameters, it is designed for instruct tasks, focusing on companionship and personal relationships, while also excelling in efficient English language and coding tasks. The model is available under an unspecified license.

Samantha Mistral 7B Instruct is a large language model developed by Cognitive Computations, a community-driven organization, with 7b parameters. It is trained on a custom-curated dataset of 6,000 conversations in ShareGPT/Vicuna format and uses the ChatML prompt format. The model focuses on philosophy, psychology, and personal relationships, designed as a friendly companion. It was trained in 2 hours on 4x A100 80GB GPUs with 20 epochs of the Samantha-1.1 dataset. The model explicitly avoids roleplay, romance, or sexual activity. No specific license is mentioned.

Samantha Mistral 7B Instruct has 7b parameters, placing it in the small model category, which ensures fast and resource-efficient performance for straightforward tasks. Its 4k context length falls under short contexts, making it suitable for concise interactions but limiting its ability to handle extended or complex text sequences. This combination prioritizes accessibility and speed over handling highly intricate or lengthy inputs.

• Parameter Size: 7b
• Context Length: 4k

Samantha Mistral 7B Instruct is designed for possible uses in scenarios requiring general assistance, personal companionship, conversation, and support. Its focus on philosophy, psychology, and relationships suggests potential applications in casual dialogue, emotional support, or educational discussions, though these are not guaranteed. The model’s design emphasizes friendly interaction, making it possible to serve as a conversational partner for non-sensitive topics. However, the effectiveness of these uses would require thorough testing and validation to ensure alignment with specific needs. The model’s 7b parameters and 4k context length further imply it is suited for lightweight, focused tasks rather than complex or resource-heavy operations.

• general assistance
• personal companionship
• conversation and support

Samantha Mistral 7B Instruct has possible applications in areas such as personal companionship, where its design for philosophy and relationships could support casual dialogue or emotional engagement. It may also serve as a possible tool for educational discussions, offering insights into psychology or ethical reasoning. Creative writing or idea generation could be another possible use, leveraging its conversational focus. Additionally, it might assist in general assistance tasks, providing straightforward answers or guidance. These applications are possible but require thorough evaluation to ensure alignment with specific needs and contexts. Each application must be thoroughly evaluated and tested before use.

• personal companionship
• educational discussions
• creative writing
• general assistance

Samantha Mistral 7B Instruct’s medium q4 version requires a GPU with at least 16GB VRAM for optimal performance, making it possible to run on mid-range hardware. This quantization balances precision and efficiency, allowing the model to operate with reduced memory usage compared to higher-precision versions. System memory of at least 32GB is recommended, along with adequate cooling and power supply. The q4 version is particularly suited for users seeking a practical trade-off between speed and accuracy.

• fp16, q2, q3, q4, q5, q6, q8

Samantha Mistral 7B Instruct is a community-maintained large language model with 7b parameters and a 4k context length, optimized for companionship, conversation, and general assistance. It supports multiple quantized versions for varied hardware requirements, making it accessible for lightweight tasks while prioritizing efficiency and friendly interaction.

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