Search
llama.cpp · By Mesh-LLM
Skills
Sort:BestMost starsTrending todayTrending this weekTrending this monthNewestRecently updatedName
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when converting Hugging Face SafeTensors checkpoints into split BF16 GGUF model repos with skippy-quantize on Hugging Face Jobs or a local machine, then publishing the… | Mesh-LLM/ | 3.5k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | 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/ | 3.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | A skill your agent uses when changing mesh-llm automation or CLI flows that discover Hugging Face GGUF models, plan CPU Hugging Face Jobs for layer-package splitting, estimate max cost, or publish… | Mesh-LLM/ | 3.5k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 4 | 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/ | 3.5k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 5 | 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/ | 3.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 6 | A skill your agent uses when changing mesh-llm's patched llama.cpp Skippy ABI, runtime hooks, model introspection, tensor filtering, activation-frame execution, GGUF writer surface, upstream pin, or… | Mesh-LLM/ | 3.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 7 | A skill your agent uses when benchmarking Skippy exact-prefix cache across model families, comparing Skippy against llama-server, producing README benchmark tables, updating… | Mesh-LLM/ | 3.5k | — | ~764 | Automated safety check: Pass | Apache-2.0 | today |
| 8 | 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/ | 3.5k | — | ~588 | Automated safety check: Pass | Apache-2.0 | today |
| 9 | 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/ | 3.5k | — | ~260 | Automated safety check: Pass | Apache-2.0 | today |
| 10 | 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/ | 3.5k | — | ~568 | Automated safety check: Pass | Apache-2.0 | today |