Large Language Models

Contents

Large Language Models#

These models accept text input and produce text output (e.g., chat completions). They are primarily large language models (LLMs), some with mixture-of-experts (MoE) architectures for scaling.

Example launch Command#

/opt/conda310/bin/python3 -m rtp_llm.start_server \
--checkpoint_path /models/qwen \
--model_type qwen_2 \
--act_type fp16 \
--start_port 8088

Supported models#

Below the supported models are summarized in a table.

If you are unsure if a specific architecture is implemented, you can search for it via GitHub. For example, to search for Qwen3ForCausalLM, use the expression:

repo:foundation_models/RTP-LLM- path:/^rtp_llm/models\// Qwen3ForCausalLM

in the GitHub search bar.

Model Family (Variants)	Example HuggingFace Identifier	ModelType	Description
DeepSeek (v1, v2, v3/R1)	`deepseek-ai/DeepSeek-R1`	deepseek_v3	Series of advanced reasoning-optimized models (including a 671B MoE) trained with reinforcement learning; top performance on complex reasoning, math, and code tasks. RTP-LLM provides Deepseek v3/R1 model-specific optimizations
DeepSeek (v1, v2)	`deepseek-ai/DeepSeek-V2`	deepseek_v2	Series of advanced reasoning-optimized models (including a 671B MoE) trained with reinforcement learning; top performance on complex reasoning, math, and code tasks.
Qwen (3MoE, 2.5MoE, Coder)	`Qwen/Qwen3-30B-A3B`, `Qwen/Qwen3-Coder-480B-A35B-Instruct`	qwen_3_moe	Alibaba’s latest Qwen3Moe series for complex reasoning, language understanding, and generation tasks; Support for MoE variants along with previous generation 3, etc.
Qwen (3 series)	`Qwen/Qwen3-32B`	qwen_3	Alibaba’s latest Qwen3 series for complex reasoning, language understanding, and generation tasks; Support for dense variants along with previous generation 3, etc.
Qwen (2.5, 2, 1.5, QWQ series)	`Qwen/Qwen2-72B`	qwen_2	Alibaba’s latest Qwen2 series for complex reasoning, language understanding, and generation tasks; Support fo dense along with previous generation 2.5, 2, 1.5, etc.
Qwen (1 series)	`Qwen/Qwen-72B`	qwen	Alibaba’s latest Qwen3 series for complex reasoning, language understanding, and generation tasks; Support for MoE variants along with previous generation 2.5, 2, etc.
Llama (2, 3.x, 4 series)	`meta-llama/Llama-4-Scout-17B-16E-Instruct`	llama	Meta’s open LLM series, spanning 7B to 400B parameters (Llama 2, 3, and new Llama 4) with well-recognized performance.
Mistral (Mixtral, NeMo, Small3)	`mistralai/Mistral-7B-Instruct-v0.2`	mistral	Open 7B LLM by Mistral AI with strong performance; extended into MoE (“Mixtral”) and NeMo Megatron variants for larger scale.
Gemma (v1, v2, v3)	`google/gemma-3-1b-it`	gemma	Google’s family of efficient multilingual models (1B–27B); Gemma 3 offers a 128K context window, and its larger (4B+) variants support vision input.
Phi (Phi-1.5, Phi-2, Phi-3, Phi-4, Phi-MoE series)	`microsoft/Phi-4-multimodal-instruct`, `microsoft/Phi-3.5-MoE-instruct`	phi	Microsoft’s Phi family of small models (1.3B–5.6B); Phi-4-multimodal (5.6B) processes text, images, and speech, Phi-4-mini is a high-accuracy text model and Phi-3.5-MoE is a mixture-of-experts model.
DBRX (Databricks)	`databricks/dbrx-instruct`	Dbrx	Databricks’ 132B-parameter MoE model (36B active) trained on 12T tokens; competes with GPT-3.5 quality as a fully open foundation model.
ChatGLM2	`zai-org/chatglm2-6b`	chat_glm_2	Zhipu AI’s bilingual chat model (6B) excelling at Chinese-English dialogue; fine-tuned for conversational quality and alignment.
ChatGLM3	`zai-org/chatglm3-6b`	chat_glm_3	Zhipu AI’s bilingual chat model (6B) excelling at Chinese-English dialogue; fine-tuned for conversational quality and alignment.
GLM4	`zai-org/glm-4-9b-hf`	chat_glm_4	Zhipu AI’s bilingual chat model (6B) excelling at Chinese-English dialogue; fine-tuned for conversational quality and alignment.
InternLM 2 (7B, 20B)	`internlm/internlm2-7b`	internlm2	Next-gen InternLM (7B and 20B) from SenseTime, offering strong reasoning and ultra-long context support (up to 200K tokens).
Baichuan 2 (7B, 13B)	`baichuan-inc/Baichuan2-13B-Chat`	baichuan2	BaichuanAI’s second-generation Chinese-English LLM (7B/13B) with improved performance and an open commercial license.
XVERSE	`xverse/XVERSE-13B`	llama	Yuanxiang’s open LLM supporting ~40 languages; delivers 100B+ dense-level performance via expert routing.