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Ollama · By ericrisco
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when running open models or working on the Hugging Face platform — the Inference Providers router or InferenceClient, Hub repos via the hf CLI, a dedicated Inference Endpoint… | ericrisco/ | 180 | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 2 | 2.Ollama A skill your agent uses when running open-weight LLMs locally with Ollama — pulling and tagging models, calling the local API, picking a quantization or GGUF, writing Modelfiles, and sizing VRAM and… | ericrisco/ | 180 | — | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 3 | A skill your agent uses when calling open-weight LLMs on Together AI or Fireworks AI's OpenAI-compatible endpoints — baseurl plus namespaced model id, the cheapest model that clears the bar… | ericrisco/ | 180 | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |
| 4 | A skill your agent uses when choosing an open-weight LLM and clearing it for use — which family and size fit the task, the hardware and the budget, and above all whether the license permits shipping. | ericrisco/ | 180 | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |
| 5 | 5.Unsloth A skill your agent uses when fine-tuning an open-weight LLM fast on ONE GPU with low VRAM — Unsloth's fast model loaders with 4-bit QLoRA and the trl trainer, response-only loss masking so the… | ericrisco/ | 180 | — | ~3.6k | Automated safety check: Pass | MIT | yesterday |
| 6 | 6.Vllm A skill your agent uses when self-hosting an open-weight LLM for high-throughput concurrent serving with vLLM — running an OpenAI-compatible endpoint, splitting a model across GPUs with tensor or… | ericrisco/ | 180 | — | ~3.6k | Automated safety check: Pass | MIT | yesterday |
