Llama
Open-weight language model family from Meta, released for local and self-hosted use.
Aperçu
Llama is a family of language models whose weights are published, so they can be run on your own hardware instead of only through an API. It solves the problem that most capable models are reachable only as a hosted service, which rules them out when data cannot leave your network or when per-token cost dominates. It exists because releasing weights turned out to build an ecosystem of fine-tunes and tooling around one architecture, and it is the model most local inference tools target first.
Graphe des technologies
Comment Llama se rattache au reste de la pile.
Utilise et dépend de
- Transformer architecture Algorithms Llama based on Transformer High ✓ source
Appliqué à
- LoRA technique Techniques LoRA used for Llama High ✓ source
- Ollama tool Infrastructure Ollama used for Llama High ✓ source
- Quantization technique Techniques Quantization used for Llama High ✓ source
- TensorRT-LLM tool Infrastructure TensorRT-LLM used for Llama High ✓ source
- llama.cpp tool Infrastructure llama.cpp used for Llama High ✓ source
- vLLM tool Infrastructure vLLM used for Llama High ✓ source
Outils
Logiciels qui implémentent Llama ou s'y intègrent.
LLM Frameworks
Alternatives
Comparaisons
Comparaisons détaillées avec les alternatives ci-dessus.