Model Families

Ecosystem hubs for the major model families — 26 families across 7 modalities. For each family: architecture evolution, local viability, runtime + quantization support, finetune ecosystem maturity, deployment caveats.

26 families
7 modalities
Open-weight focus

📝Text & Reasoning
16

Llama

Open-weight

Meta

Meta's open-weight LLM family — the dominant baseline for self-hosted text generation. Llama 3.3 70B is the canonical 70B-class chat model in 2026; Llama 3.1 8B remains the most-deployed sub-13B production model.

Qwen

Open-weight

Alibaba (Qwen Team)

Alibaba's flagship open-weight family with permissive licensing across most variants. Qwen 3 235B-A22B is the leading open-weight MoE for production reasoning; Qwen 3 32B dense is the strongest 32B-class chat model.

DeepSeek

Open-weight

DeepSeek AI

DeepSeek's frontier reasoning + code MoE family. DeepSeek V3 (671B MoE) and V4 are the leading open-weight reasoning models in 2026; DeepSeek Coder V3 is the canonical open-weight code model. All ship under DeepSeek's permissive commercial-friendly license.

Mistral

Mixed

Mistral AI

Mistral's mixed open + closed family. Mistral 7B + Mixtral 8x22B are the open-weight standards; Mistral Large + Codestral are commercial. Codestral Mamba 7B introduced state-space models to production code workflows.

Gemma

Open-weight

Google DeepMind

Google's open-weight derivative of Gemini research. Gemma 2 + Gemma 3 cover sub-30B chat; CodeGemma adds code-specialized variants. Tight integration with Vertex AI / Google Cloud / Android Studio.

Phi

Open-weight

Microsoft Research

Microsoft's small-but-strong family — Phi-4, Phi-3.5 lineage. Trained on synthetic data for reasoning. The canonical 'punching above weight class' family — Phi-4 14B competes with 70B-class models on reasoning benchmarks.

Command R

Open-weight

Cohere

Cohere's RAG-tuned open-weight family with first-class document citation + multilingual coverage. Non-commercial license is the practical limit vs Llama / Qwen for production use.

Aya

Open-weight

Cohere For AI

Cohere For AI's multilingual research family. Aya 23 + Aya Expanse cover 23+ languages with explicit balance — the strongest open-weight multilingual chat models for underserved languages (Arabic, Korean, Hebrew, Vietnamese).

Yi

Open-weight

01.AI

01.AI's open-weight family. Yi 1.5 34B was a strong dense model; Yi-Lightning shifted to MoE. Permissive Apache 2.0 license; strong Chinese-English capability.

Nemotron

Open-weight

NVIDIA

NVIDIA's reasoning-tuned family. Nemotron-3, Nemotron-4 lineage. NVIDIA-aligned tooling integration (NeMo, TensorRT-LLM); strong on agentic + reasoning workloads.

DBRX

Open-weight

Databricks (Mosaic)

Databricks' MoE family — DBRX Base + DBRX Instruct. 132B total / 36B active MoE. Surpassed by 2026 MoE leaders but remains relevant for Databricks platform integration.

ERNIE

Mixed

Baidu

Baidu's family — ERNIE 4.0, ERNIE Turbo. Strong Chinese-language capability; mixed licensing. Lower deployment in Western open-weight ecosystems; relevant for Chinese-market deployments.

Baichuan

Open-weight

Baichuan Intelligence

Chinese-market focused open-weight family. Baichuan 4 + earlier versions; strong Chinese capability with permissive licensing.

GPT (OpenAI)

Closed-weight

OpenAI

OpenAI's closed-weight family — GPT-4, GPT-4o, GPT-5 series. Reference baseline for capability comparisons; not self-hostable. RunLocalAI covers GPT family for benchmark context only.

Claude (Anthropic)

Closed-weight

Anthropic

Anthropic's closed-weight family — Claude 3 Haiku/Sonnet/Opus, Claude 3.5/3.7 Sonnet. Reference baseline for reasoning + tool-use comparisons; not self-hostable. RunLocalAI covers Claude for benchmark context.

Gemini (Google)

Closed-weight

Google DeepMind

Google's closed-weight family — Gemini Pro, Gemini Ultra, Gemini Flash. Open-weight derivatives ship as [Gemma](/families/gemma). Reference baseline for capability comparisons.

👁️Vision-Language
3

🎨Image Generation
2

🎬Video
2

🔊Audio
1

🔍Embeddings & Retrieval
1

💻Coding
1