llama.cpp · For data scientists

Complete agent-ready workflow for Qwen-family MTP or nextn GGUF conversion and release.

R6410418/Jackrong-llm-finetuning-guide

Trigger this skill when the user wants to train, fine-tune, or adapt Gemma models (e.g.

google-gemma/gemma-skills

Trains or fine-tunes language and vision models with TRL or Unsloth on Hugging Face Jobs cloud GPUs, then converts the results to GGUF.

huggingface/skills

Finds llama.cpp-compatible GGUF models on the Hugging Face Hub, picks a quantization for your hardware and launches them with llama-cli or llama-server.

huggingface/skills

Add a new quantization data type to AutoRound (e.g., INT, FP8, MXFP, NVFP, GGUF variants).

intel/auto-round

A skill your agent uses when creating, monitoring, validating, or documenting low-memory Hugging Face Jobs or local runs that quantize split BF16/FP16 GGUF model repos into custom quant GGUF repos…

Mesh-LLM/mesh-llm

Install and operate Interlinked's optional local semantic function index.

QuentinCody/interlinked-cli

A skill your agent uses when running quantization of a BF16/FP16 GGUF repo and Skippy layer-package creation as one local or Hugging Face Jobs workflow, publishing both artifacts to Hugging Face.

Mesh-LLM/mesh-llm

A skill your agent uses when changing mesh-llm's llama.cpp patch queue, upstream pin, prepare/build scripts, or carried RPC, MoE, and mesh-hook llama.cpp patches.

Mesh-LLM/mesh-llm

A skill your agent uses when inspecting GGUF models, planning layer ranges, generating or validating skippy package artifacts, fake packages for direct GGUFs, materialized stage cache behavior, or…

Mesh-LLM/mesh-llm

A skill your agent uses when testing or benchmarking target/draft GGUF pairs for speculative decoding compatibility, tokenizer agreement, draft acceptance rate, or staged verification behavior.

Mesh-LLM/mesh-llm

A skill your agent uses when certifying a GGUF model family for skippy stage-split serving, reviewing capability data, promoting family evidence into topology policy, or updating staged split…

Mesh-LLM/mesh-llm

Fine-tune and post-train LLMs with Unsloth Core on a single consumer GPU: VRAM sizing, LoRA/QLoRA, GRPO/DPO, chat-template correctness, and GGUF export.

sickn33/agentic-awesome-skills

Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8.

wshobson/agents

Build WAN 2.2 First-Last-Frame video workflows. An agent skill from artokun/comfyui-mcp.

artokun/comfyui-mcp

Redact, anonymize, sanitize, or remove PII locally with Distil-PII and llama.cpp; keep personal data and secret values out of model context, logs, and chat.

HybridAIOne/hybridclaw

Machine-learning research loop for dataset curation, fine-tuning, evaluation, inference deployment, experiment tracking, and model explainability.

AnastasiyaW/codex-claude-code-config

A skill your agent uses when adapting an open-weight model to a target form or behavior — tone, output format, reasoning pattern — via LoRA/QLoRA or full fine-tuning with TRL SFTTrainer, then…

ericrisco/rsc-harness

Plan and execute production ML engineering work — model training and fine-tuning (LoRA/QLoRA), evaluation and eval-set design, quantization decisions, inference deployment, lineage, feature parity…

magnus919/agent-skills