Logos
Fine-tuning as a service · keep the weights
Logos vs OpenAI vs Together vs Replicate: Fine-Tuning Buyer's Guide
Pick OpenAI if you want a hosted GPT endpoint and don't need the weights. Pick Together or Fireworks if you want hosted inference on open models. Pick Replicate if you're already running everything through Replicate's API. Pick Logos if you want to own the weights and run inference yourself.
45 Open-Weight Models Ranked for Fine-Tuning in 2026
Pick Llama 3.3 70B or Qwen 2.5 72B for the safest 70B-class production bet. Pick Phi-4 14B or Mistral Small 24B for efficient reasoning at small size. Pick Gemma 4 26B MoE or 31B Dense for multimodal + long context. Pick Hermes 3 for function-calling pre-training. Reach for GLM-5.1, Kimi K2.5, or MiniMax M1 only when frontier agentic capability is the job.
What is Logos? The Fine-Tuning Service Where You Keep the Weights
Logos is DDG's fine-tuning-as-a-service. You choose an open-weight model, we train it on your data, you get the raw weights as .safetensors plus a LoRA adapter — no hosted inference, no API, no vendor lock-in. Four tiers from $349 to $3,499, plus a Custom quote.