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togethercomputer
GitHub 제작자 프로필

togethercomputer

4개 GitHub 저장소에서 수집된 28개 skills를 저장소 단위로 보여줍니다.

수집된 skills
28
저장소
4
업데이트
2026년 8월 17일
저장소 탐색

저장소와 대표 skills

together-gpu-clusters
네트워크·컴퓨터 시스템 관리자

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…

2026년 8월 17일
together-audio
소프트웨어 개발자

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…

2026년 8월 7일
together-chat-completions
소프트웨어 개발자

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…

2026년 7월 23일
together-evaluations
소프트웨어 개발자

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…

2026년 7월 23일
together-dedicated-containers
소프트웨어 개발자

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…

2026년 7월 23일
together-dedicated-model-inference
소프트웨어 개발자

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…

2026년 7월 23일
together-embeddings
소프트웨어 개발자

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…

2026년 7월 23일
together-fine-tuning
소프트웨어 개발자

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…

2026년 7월 23일
수집된 skill 14개 중 8개를 표시합니다.
add-jit-kernel
미분류

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

2026년 8월 9일
cookbook-add-model
미분류

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…

2026년 8월 9일
llm-torch-profiler-analysis
미분류

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…

2026년 8월 9일
sglang-runtime-context
미분류

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…

2026년 8월 9일
sglang-diffusion-add-model
미분류

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

2026년 8월 9일
sglang-diffusion-benchmark-profile
미분류

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

2026년 8월 9일
sglang-diffusion-modelopt-quant
미분류

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

2026년 8월 9일
sglang-diffusion-performance
미분류

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

2026년 8월 9일
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