# Reinforcement Learning Alignment

GLM-4-32B-0414 is a new member of the GLM family with a parameter scale of 32 billion, comparable in performance to the GPT series, and supports local deployment.

GLM-4-32B-0414 is a large language model with 32 billion parameters, comparable in performance to GPT-4o and DeepSeek-V3. It supports both Chinese and English, and excels in code generation, function calling, and complex task processing.

The Meta Llama 3.1 series is a collection of multilingual large language models (LLMs), including pre-trained and instruction-tuned generative models in 8B, 70B, and 405B sizes. The 8B version is optimized for multilingual dialogue use cases and excels in common benchmarks.

GLM-4-32B-0414 is a large language model with 32 billion parameters, comparable in performance to the GPT series, supporting both Chinese and English, and excels in code generation, function calling, and complex task processing.

Llama 3.1 is a multilingual large language model collection developed by Meta, including 8B, 70B, and 405B parameter versions, supporting 8 languages, optimized for dialogue use cases.

Llama-3.3-70B-Instruct is a multilingual large language model released by Meta, optimized for multilingual dialogue use cases and demonstrating excellent performance across multiple industry benchmarks.

Llama 3.2 is a 1B and 3B parameter-scale multilingual pre-trained and instruction-tuned generative model from Meta, optimized for multilingual dialogue use cases and supporting 8 official languages.

Llama 3.2 is a set of pre-trained and instruction-tuned generative models, including 1B and 3B scales, optimized for multilingual dialogue use cases, including agent retrieval and summarization tasks.

Meta Llama 3.1 8B Instruct is a multilingual large language model optimized for multilingual dialogue use cases, excelling in common industry benchmarks.

Meta Llama3 Instruct 8B is an 8B-parameter instruction-tuned large language model released by Meta, optimized for dialogue scenarios, with excellent performance in safety and helpfulness.

The instruction-tuned version of Meta Llama 3 with 8B parameters, optimized for dialogue scenarios, demonstrating excellent helpfulness and safety performance.

Meta Llama 3 is a series of large language models developed by Meta, including 8B and 70B scales, focusing on dialogue optimization and safety.

Meta Llama 3 70B Instruct is a 70-billion-parameter instruction-tuned large language model released by Meta, optimized for conversational scenarios with excellent performance in helpfulness and safety.

Llama 2 is a 70-billion-parameter conversation-optimized large language model developed by Meta, surpassing most open-source dialogue models in benchmark tests with safety comparable to mainstream proprietary models

Llama 2 is a series of pre-trained and fine-tuned generative text models developed by Meta, ranging from 7 billion to 70 billion parameters. This is the 13B pre-trained model, converted to Hugging Face Transformers format.