Open Models · Local Deploy

全球开源模型频道

策展 + Ollama Library 全量 + HF GGUF 热门 合并目录:参数/显存、许可、 Hugging Face / GGUF / Ollama / ModelScope 下载,并跳转 本地算力计算器 。HF 全库十万+——本频道做可跑清单、深链与算力账,不镜像权重。 同步于 2026-08-03T07:33:50Z

合并总量325
策展精选42
同步条数303
本地优先318
含 Ollama238
含 HF/GGUF192

全库入口(全球)

要「全部开源」请用下列权威源检索;本站策展负责选型 + 部署路径 + 算力账

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匹配 325 · 展示 40 · 点「设为 A/B」后底部一键对比 · 本站不托管权重

llama3.2

Meta · 1b/3b · unknown · 本地优先 · ollama-library · 79M pulls

Q4 ~4GB舒适 8GB

Meta's Llama 3.2 goes small with 1B and 3B models.

Agent对话
ollama run llama3.2
gemma4

Google · ~7B · unknown · 本地优先 · ollama-library · 20M pulls

Q4 ~6GB舒适 12GB

Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.

视觉代码推理Agent对话
ollama run gemma4
llama3

Meta · ~7B · unknown · 本地优先 · ollama-library · 25M pulls

Q4 ~4GB舒适 8GB

Meta Llama 3: The most capable openly available LLM to date

对话
ollama run llama3
qwen2.5-coder

Alibaba · ~7B · unknown · 本地优先 · ollama-library · 20M pulls

Q4 ~4GB舒适 8GB

The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing.

代码推理Agent对话
ollama run qwen2.5-coder
codellama

Meta · ~7B · unknown · 本地优先 · ollama-library · 5.9M pulls

Q4 ~4GB舒适 8GB

A large language model that can use text prompts to generate and discuss code.

代码对话
ollama run codellama
gemma

Google · ~7B · unknown · 本地优先 · ollama-library · 7.3M pulls

Q4 ~4GB舒适 8GB

Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1

对话
ollama run gemma
glm-ocr

Zhipu · ~7B · unknown · 本地优先 · ollama-library · 6.2M pulls

Q4 ~6GB舒适 12GB

GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture.

视觉OCR代码Agent
ollama run glm-ocr
gpt-oss

Community · ~7B · unknown · 本地优先 · ollama-library · 11M pulls

Q4 ~4GB舒适 8GB

OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.

推理Agent对话
ollama run gpt-oss
llama2

Meta · 7b/70b · unknown · 本地优先 · ollama-library · 7.3M pulls

Q4 ~4GB舒适 8GB

Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters.

对话
ollama run llama2
minicpm-v

Community · ~7B · unknown · 本地优先 · ollama-library · 5.4M pulls

Q4 ~6GB舒适 12GB

A series of multimodal LLMs (MLLMs) designed for vision-language understanding.

视觉对话
ollama run minicpm-v
mistral-nemo

Mistral AI · 12b · unknown · 本地优先 · ollama-library · 5.6M pulls

Q4 ~8GB舒适 16GB

A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.

Agent对话
ollama run mistral-nemo
mxbai-embed-large

Community · ~1B · unknown · 本地优先 · ollama-library · 13M pulls

Q4 ~0.8GB舒适 2GB

State-of-the-art large embedding model from mixedbread.ai

向量
ollama run mxbai-embed-large
phi3

Microsoft · 3b/14b · unknown · 本地优先 · ollama-library · 18M pulls

Q4 ~4GB舒适 8GB

Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft.

对话
ollama run phi3
qwen

Alibaba · 0.5b/110b · unknown · 本地优先 · ollama-library · 7.5M pulls

Q4 ~38.5GB舒适 49GB

Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters

对话
ollama run qwen
qwen2

Alibaba · ~7B · unknown · 本地优先 · ollama-library · 6.1M pulls

Q4 ~4GB舒适 8GB

Qwen2 is a new series of large language models from Alibaba group

Agent对话
ollama run qwen2
qwen3-vl

Alibaba · ~7B · unknown · 本地优先 · ollama-library · 5.0M pulls

Q4 ~6GB舒适 12GB

The most powerful vision-language model in the Qwen model family to date.

视觉推理Agent对话
ollama run qwen3-vl
qwen3.5

Alibaba · ~7B · unknown · 本地优先 · ollama-library · 17M pulls

Q4 ~6GB舒适 12GB

Qwen 3.5 is a family of open-source multimodal models that delivers exceptional utility and performance.

视觉推理Agent对话
ollama run qwen3.5
qwen3.6

Alibaba · ~7B · unknown · 本地优先 · ollama-library · 5.1M pulls

Q4 ~6GB舒适 12GB

Qwen3.6 delivers substantial upgrades in agentic coding and thinking preservation than previous Qwen models.

视觉代码推理Agent对话
ollama run qwen3.6
tinyllama

Meta · 1.1b · unknown · 本地优先 · ollama-library · 5.3M pulls

Q4 ~4GB舒适 8GB

The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens.

对话
ollama run tinyllama

与竞品对齐的能力

  • ApX / VRAM 计算器类:本站 /tools/local-deploy 覆盖显存适配、多卡 TP、产出与 vs API 费用。
  • Ollama Library / HF Hub:每条模型直链下载与 ollama run,不二次托管权重。
  • Model Picker(按 GPU 筛模型):列表「显存上限」筛选 + 计算器预填。
  • 价格/中转对照:有 OpenRouter id 的可回 /models · /official-api
开源模型部署频道 · HF / Ollama / GGUF · GrokCode 倍率榜