@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix sl:    <http://www.semanlink.net/2001/00/semanlink-schema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix tag:   <http://www.semanlink.net/tag/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix dc:    <http://purl.org/dc/elements/1.1/> .

tag:llama_2  a          sl:Tag ;
        skos:broader    tag:llama ;
        skos:prefLabel  "Llama 2" .

tag:foundation_models
        a               sl:Tag ;
        skos:prefLabel  "Foundation Models" .

tag:toolformer  a       sl:Tag ;
        skos:prefLabel  "Toolformer" .

tag:llama_cpp  a        sl:Tag ;
        skos:broader    tag:llama ;
        skos:prefLabel  "LLaMa.cpp" .

tag:tweet  a            sl:Tag ;
        skos:prefLabel  "Tweet" .

<http://www.semanlink.net/doc/2024/07/tool_support_%C2%B7_ollama_blog>
        dc:title         "Tool support · Ollama Blog" ;
        sl:comment       "Ollama now supports tool calling with popular models such as Llama 3.1." ;
        sl:creationDate  "2024-07-27" ;
        sl:tag           tag:toolformer , tag:llama .

tag:chatgpt_plugins  a  sl:Tag ;
        skos:prefLabel  "ChatGPT plugins" .

tag:llm  a              sl:Tag ;
        skos:prefLabel  "LLM" .

tag:quantization  a     sl:Tag ;
        skos:prefLabel  "Quantization" .

tag:llama3  a           sl:Tag ;
        skos:broader    tag:llama ;
        skos:prefLabel  "LLama3" .

tag:language_models_size
        a               sl:Tag ;
        skos:prefLabel  "Language Models: size" .

tag:jeremy_howard  a    sl:Tag ;
        skos:prefLabel  "Jeremy Howard" .

<http://www.semanlink.net/doc/2023/02/guillaume_lample_sur_twitter_>
        dc:title         "Guillaume Lample sur Twitter : \"Today we release LLaMA, 4 foundation models ranging from 7B to 65B parameters...\"" ;
        sl:comment       ">  LLaMA-13B outperforms OPT and GPT-3 175B on most benchmarks. LLaMA-65B is competitive with Chinchilla 70B and PaLM 540B.\r\n> \r\n> The weights for all models are open and available\r\n>\r\n> trained on at least 1T tokens,\r\n>\r\n> Unlike Chinchilla, PaLM, or GPT-3, we only use datasets publicly available,\r\n>\r\n> We also briefly tried instruction finetuning\r\n\r\nLLaMA-13B is competitive with GPT-3, despite being 10x smaller.\r\n\r\nBut that's not really open-source\r\n\r\n[github](https://github.com/facebookresearch/llama)\r\n\r\n\"The license prohibits using the models or any data produced by the models for any type of commercial or production purpose.\"" ;
        sl:creationDate  "2023-02-25" ;
        sl:tag           tag:guillaume_lample , tag:publicly_available_datasets , tag:nlp_meta , tag:tweet , tag:llama , tag:language_models_size , tag:llm , tag:foundation_models .

tag:github  a           sl:Tag ;
        skos:prefLabel  "GitHub" .

tag:llama  a              sl:Tag ;
        rdfs:isDefinedBy  tag:llama.n3 ;
        skos:broader      tag:nlp_meta , tag:llm , tag:gpt_alternatives , tag:foundation_models ;
        skos:prefLabel    "LLaMA" ;
        foaf:page         tag:llama.html .

tag:attention_is_all_you_need
        a               sl:Tag ;
        skos:prefLabel  "Transformers" .

tag:publicly_available_datasets
        a               sl:Tag ;
        skos:prefLabel  "Publicly available datasets" .

tag:memoire  a          sl:Tag ;
        skos:prefLabel  "Mémoire" .

<http://www.semanlink.net/doc/2023/04/jeremy_howard_sur_twitter_th>
        dc:title         "Jeremy Howard sur Twitter : \"There's a lot of folks under the misunderstanding that it's now possible to run a 30B param LLM in <6GB, based on this GitHub discussion. This is not the case...\" (thread)" ;
        sl:creationDate  "2023-04-03" ;
        sl:tag           tag:tweet , tag:attention_is_all_you_need , tag:memoire , tag:llama , tag:jeremy_howard , tag:github .

tag:cpp  a              sl:Tag ;
        skos:prefLabel  ".cpp" .

tag:gpt_alternatives  a  sl:Tag ;
        skos:prefLabel  "GPT: alternatives" .

<http://www.semanlink.net/doc/2023/03/llm_zoo_at_home_llama_alpaca>
        dc:title         "LLM Zoo at Home: LLaMA & Alpaca | bergis universe of software, hardware and ideas" ;
        sl:creationDate  "2023-03-20" ;
        sl:tag           tag:llama , tag:alpaca .

tag:nlp_meta  a         sl:Tag ;
        skos:prefLabel  "NLP@Meta" .

<http://www.semanlink.net/doc/2023/03/using_chatgpt_plugins_with_llama>
        dc:title         "Using ChatGPT Plugins with LLaMA" ;
        sl:creationDate  "2023-03-27" ;
        sl:tag           tag:llama , tag:chatgpt_plugins .

tag:gpt_frugal_alternatives
        a               sl:Tag ;
        skos:prefLabel  "GPT: frugal alternatives" .

tag:apple_m1_m2  a      sl:Tag ;
        skos:prefLabel  "Apple M1/M2" .

tag:guillaume_lample  a  sl:Tag ;
        skos:prefLabel  "Guillaume Lample" .

<http://www.semanlink.net/doc/2023/06/ggerganov_llama_cpp_port_of_fa>
        dc:title         "ggerganov/llama.cpp: Port of Facebook's LLaMA model in C/C++" ;
        sl:comment       "> The main goal of llama.cpp is to run the LLaMA model using 4-bit integer quantization on a MacBook" ;
        sl:creationDate  "2023-06-04" ;
        sl:tag           tag:quantization , tag:llama , tag:apple_m1_m2 , tag:cpp .

tag:alpaca  a           sl:Tag ;
        skos:broader    tag:llama ;
        skos:prefLabel  "Alpaca" .

tag:github_project  a   sl:Tag ;
        skos:prefLabel  "GitHub project" .

<http://www.semanlink.net/doc/2023/03/tloen_alpaca_lora_instruct_tun>
        dc:title         "tloen/alpaca-lora: Instruct-tune LLaMA on consumer hardware" ;
        sl:comment       "Uses [LoRA: Low-Rank Adaptation of Large Language Models](doc:2023/03/2106_09685_lora_low_rank_ada)\r\n\r\nsee [Alpaca Finetuning of Llama on a 24G Consumer GPU](doc:2023/03/alpaca_finetuning_of_llama_on_a)" ;
        sl:creationDate  "2023-03-22" ;
        sl:tag           tag:llama , tag:gpt_frugal_alternatives , tag:github_project , tag:alpaca .