OpenChat-3.5-0106

Efficient, Open, Aligned Chat AI

What is OpenChat-3.5-0106?

OpenChat-3.5-0106 is a 7B-parameter instruction-tuned language model, part of the OpenChat project focused on building transparent and aligned open-source chat assistants. Built on the LLaMA-2 base, this model is tuned with C-RLHF (Contrastive Reinforcement Learning from Human Feedback) for enhanced alignment and safety.

It delivers strong reasoning, clear dialogue, and stable multi-turn performance, ideal for use in chatbots, agents, and natural interaction tools.

Key Features of OpenChat-3.5-0106

7B Parameter Model (LLaMA-2 Base)

Lightweight yet capable, designed to balance performance, cost, and usability across general-purpose chat tasks.

C-RLHF Instruction Tuning

Trained with contrastive RLHF to follow user instructions more accurately, respectfully, and helpfully.

Multi-Turn Dialogue Fluency

Handles long conversations well with consistent tone, follow-up, and memory over dialogue context.

Open-Weight and Transparent

Fully open and reproducible, ideal for research, analysis, fine-tuning, or controlled commercial use.

Performance-Oriented

Outperforms most open 7B models on benchmarks like MT-Bench, AlpacaEval, and Arena-Hard.

Easy to Run and Customize

Runs efficiently on a single A100 or multiple mid-range GPUs; easily adaptable to specific domains or needs.

Use Cases of OpenChat-3.5-0106

Deploy as a multilingual, context-aware chat assistant for product support, e-commerce, or SaaS tools.

Build virtual tutors or language-learning bots with safe, accurate dialogue capabilities.

Use as a base LLM for task agents, command-following agents, or autoGPT-style orchestration tools.

Analyze alignment mechanisms like contrastive RLHF with full transparency in training and inference.

Ideal for teams needing fast, low-cost deployment without relying on closed or cloud-hosted APIs.

OpenChat-3.5-0106

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Comparable Models

Feature	Mistral-7B Instruct	LLaMA 2 Chat 7B	MPT-7B-Instruct	OpenChat-3.5-0106
Parameters	7B	7B	7B	7B
Instruction Tuning	Strong	Moderate	Strong	Very Strong (C-RLHF)
Chat Fluency	Good	Moderate	Good	Excellent
Efficiency	High	Moderate	High	High
Licensing	Open	Open	Open (Apache 2.0)	Open (Non-Commercial)
Best Use Case	Fast Reasoning Chat	General Chat	Lightweight Chat AI	Aligned Instruction Chat AI