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togethercomputer
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togethercomputer

Vista por repositorio de 28 skills recopiladas en 4 repositorios de GitHub.

skills recopiladas
28
repositorios
4
actualizado
17 ago 2026
explorador de repositorios

Repositorios y skills representativas

together-gpu-clusters
Administradores de redes y sistemas informáticos

On-demand and reserved GPU clusters (H100, H200, B200) on Together AI with Kubernetes or Slurm orchestration, shared storage, credential management, and cluster scaling for ML and HPC jobs. Reach for it when the user needs multi-node compute or infrastructure…

17 ago 2026
together-audio
Desarrolladores de software

Text-to-speech and speech-to-text via Together AI, including REST, streaming, and realtime WebSocket TTS, plus transcription, translation, diarization, timestamps, and live STT. Reach for it whenever the user needs audio in or audio out on Together AI rather…

7 ago 2026
together-chat-completions
Desarrolladores de software

Real-time and streaming text generation via Together AI's OpenAI-compatible chat/completions API, including multi-turn conversations, tool and function calling, structured JSON outputs, and reasoning models. Reach for it whenever the user wants to build or…

23 jul 2026
together-evaluations
Desarrolladores de software

LLM-as-a-judge evaluation framework on Together AI. Classify, score, and compare model outputs, select judge models, use external-provider judges or targets, poll results and download reports. Reach for it whenever the user wants to benchmark outputs, grade…

23 jul 2026
together-dedicated-containers
Desarrolladores de software

Custom Dockerized inference workers on Together AI's managed GPU infrastructure. Build with Sprocket SDK, configure with Jig CLI, submit async queue jobs, and poll results. Reach for it whenever the user needs container-level control rather than a standard…

23 jul 2026
together-dedicated-model-inference
Desarrolladores de software

Deploy and operate models on dedicated GPUs with Together AI's Dedicated Model Inference (DMI, the v2 dedicated endpoints API): beta endpoints, deployments, deployment profiles and hardware configs, autoscaling, traffic splitting, A/B tests, shadow…

23 jul 2026
together-embeddings
Desarrolladores de software

Dense vector embeddings, semantic search, RAG pipelines, and reranking via Together AI. Generate embeddings with open-source models and rerank results behind dedicated endpoints. Reach for it whenever the user needs vector representations or retrieval quality…

23 jul 2026
together-fine-tuning
Desarrolladores de software

LoRA, full fine-tuning, DPO preference tuning, VLM training, function-calling tuning, reasoning tuning, and BYOM uploads on Together AI. Reach for it whenever the user wants to adapt a model on custom data rather than only run inference, evaluate outputs, or…

23 jul 2026
Mostrando 8 de 14 skills recopiladas.
add-jit-kernel
sin clasificar

Step-by-step tutorial for adding a new lightweight JIT CUDA kernel to sglang's jit_kernel module

9 ago 2026
cookbook-add-model
sin clasificar

Add a new model to the SGLang Cookbook (docs/, Mintlify), config-driven format — instantiate the model-agnostic template into a per-model config (+ benchmarks) JSX under src/snippets/configs/, an MDX page, the docs.json nav entry, NEW-tag hygiene, and the…

9 ago 2026
llm-torch-profiler-analysis
sin clasificar

Unified LLM torch-profiler triage skill for `sglang`, `vllm`, `TensorRT-LLM`, and `TokenSpeed`. Use it to inspect an existing `trace.json(.gz)` or profile directory, or to drive live profiling against a running server when supported and return one three-table…

9 ago 2026
sglang-runtime-context
sin clasificar

How SGLang's runtime configuration and process-global state are organized (RuntimeContext tiers, publish + namespace config bags, the pristine ServerArgs seed, override entry points, resource/stream/buffer leases, per-forward flags), the CI guardrails that…

9 ago 2026
sglang-diffusion-add-model
sin clasificar

Use when adding a new diffusion model or Diffusers pipeline to SGLang.

9 ago 2026
sglang-diffusion-benchmark-profile
sin clasificar

Use when benchmarking denoise latency or profiling a diffusion bottleneck in SGLang.

9 ago 2026
sglang-diffusion-modelopt-quant
sin clasificar

Use when quantizing a diffusion DiT with NVIDIA ModelOpt and making the resulting FP8 or NVFP4 checkpoint loadable, verifiable, and benchmarkable in SGLang Diffusion.

9 ago 2026
sglang-diffusion-performance
sin clasificar

Use when choosing the fastest SGLang Diffusion flags for a model, GPU, and VRAM budget.

9 ago 2026
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