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togethercomputer
GitHub 创作者资料

togethercomputer

按仓库查看 4 个 GitHub 仓库中的 28 个已收集 skills。

已收集 skills
28
仓库
4
更新
2026年8月17日
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仓库与代表性 skills

together-gpu-clusters
网络与计算机系统管理员

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…

2026年8月17日
together-audio
软件开发工程师

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…

2026年8月7日
together-chat-completions
软件开发工程师

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…

2026年7月23日
together-evaluations
软件开发工程师

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…

2026年7月23日
together-dedicated-containers
软件开发工程师

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…

2026年7月23日
together-dedicated-model-inference
软件开发工程师

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…

2026年7月23日
together-embeddings
软件开发工程师

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…

2026年7月23日
together-fine-tuning
软件开发工程师

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…

2026年7月23日
已展示 8 / 14 个已收集 Skill。
add-jit-kernel
未分类

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

2026年8月9日
cookbook-add-model
未分类

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…

2026年8月9日
llm-torch-profiler-analysis
未分类

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…

2026年8月9日
sglang-runtime-context
未分类

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…

2026年8月9日
sglang-diffusion-add-model
未分类

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

2026年8月9日
sglang-diffusion-benchmark-profile
未分类

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

2026年8月9日
sglang-diffusion-modelopt-quant
未分类

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

2026年8月9日
sglang-diffusion-performance
未分类

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

2026年8月9日
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