Ollama french model. gif) Stable LM 2 is a state-of-the-art 1.

Ollama french model Oct 21, 2024 · Granite mixture of experts models. This tutorial should serve as a good reference for anything you wish to do with Ollama, so bookmark it and let’s get started. 1. 5B-Preview is a language model fine-tuned from DeepSeek-R1-Distilled-Qwen-1. Token Usage Tracking: Cline tracks token usage for models accessed via Ollama, allowing you to monitor consumption. 7B parameter model. Mixtral 8x22B comes with the following strengths: It is fluent in English, French, Italian, German, and Spanish Stable LM 2 is a state-of-the-art 1. 6 and 12B billion parameter small language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch. ollama run qwen3:4b 8B parameter model. Instruction tuned models are intended for assistant-like chat Get up and running with large language models. This post explores the world of uncensored LLMs on Ollama, examining their capabilities, limitations, and potential benefits and risks. Uncensored LLMs on Ollama. ollama run llama4:scout 109B parameter MoE model with 17B active parameters. ollama run qwen3:14b 32B parameter model. ollama run qwen3:30b-a3b 235B mixture-of-experts model with 22B active parameters I don't Roleplay but I liked Westlakes model for uncensored creative writing. How to integrate? Jun 15, 2024 · French-Alpaca is a general SLM in French 3. 5 1. /Modelfile>' ollama run choose-a-model-name; 开始使用模型! 更多示例可在示例目录中找到。 要查看给定模型的Modelfile，请使用ollama show --modelfile命令。 Mixtral 8x22B sets a new standard for performance and efficiency within the AI community. Built on top of Granite-3. . May 1, 2025 · This model demonstrates meticulous data curation and high quality synthetic datasets allow smaller models to compete with larger counterparts. The IBM Granite 1B and 3B models are the first mixture of experts (MoE) Granite models from IBM designed for low latency usage. Benchmarks. If you don't have it installed, download it from the Ollama website. The Llama 3. 7b 4B parameter model. 82B params 4k tokens of window context Based on microsoft/Phi-3-mini-4k-instruct Fine-tuned from the original French-Alpaca-dataset 110K instructions, entirely generated with OpenAI GPT-3. This model is finetuned meta-llama/Meta-Llama-3. Phi 4 reasoning. Pour voir quels modèles s'exécutent activement et consomment des ressources, utilisez : ollama ps. 5B model, is specifically designed to perform high quality translations between multiple languages. It outperforms Llama 2, GPT 3. Ollama est un outil puissant permettant d'exécuter localement des modèles de langage de grande taille (LLM) open-source. tools 3,071 Pulls 1 Tag Updated 4 months ago Stable LM 2 is a state-of-the-art 1. . Feb 12, 2025 · DeepScaleR-1. 6b 12b 114. llama as a foundation model is only very strong with english. g. The model is trained on a mix of publicly available datasets and synthetic datasets, utilizing Direct Preference Optimization (DPO). Si vous voulez voir le reste des commandes d'Ollama, exécutez : ollama --help Choses que vous pouvez essayer Dec 6, 2024 · Ollama now supports structured outputs making it possible to constrain a model's output to a specific format defined by a JSON schema. Jan 30, 2025 · Ollama prend également en charge des outils d’interface utilisateur graphique (GUI) tiers, tels que Open WebUI, pour ceux qui préfèrent une approche plus visuelle. In this tutorial we will walk you though running evaluations on UpTrain using your local models hosted on Ollama. Intended Use Cases: Llama 4 is intended for commercial and research use in multiple languages. Si vous souhaitez arrêter un modèle pour libérer des ressources, utilisez : ollama stop. jpg, . French embedding model. Use the ollama run command followed by the model tag. I tried some different models and prompts. 47. There are many varieties of Chinese, with Mandarin being the most commonly used, so please use Mandarin instead of Chinese in your prompts. Ollama’s Own Documentation: For more detailed information, consult the official Ollama documentation. The llama2:70b and also mixtral creates really good translations. 4K Pulls 84 Tags Updated 1 year ago Sep 25, 2024 · Llama 3. Sep 25, 2024 · The 1B model is competitive with other 1-3B parameter models. Compatible avec divers modèles tels que Llama 2 et Code Llama, Ollama simplifie l'utilisation des LLM en regroupant les poids du modèle, la configuration et les données dans un paquet unique, défini par un Modelfile. ollama run qwen3:8b 14B parameter model. 1-8B-Instruct and AWQ quantized and converted version to run even without a GPU. Blog Post. ollama run phi4-reasoning Phi 4 Aya Expanse represents a significant advancement in multilingual AI capabilities. Here are some notable ones: Aug 5, 2024 · This model, based on the Qwen 2. 7B and 13B models translates into phrases and words that are not common very often and sometimes are not correct. How will this help? Using Ollama you can run models like Llama, Gemma locally on your system. Supported Languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai are officially Dec 6, 2024 · The Meta Llama 3. Phi 4 reasoning plus model builds on top of Phi 4 reasoning, and is further trained with reinforcement learning to deliver higher accuracy. 8%) and surpassing OpenAI’s O1-Preview performance with In terms of the flagship model Qwen2. It allows users to generate text, assist with coding, and create content privately and securely on their own devices. Enbeddrus - English and Russian embedding model. jpeg, . Potential use cases include: Medical exam question answering; Supporting differential diagnosis Jan 30, 2025 · Evaluators were tasked with selecting their preferred model response from anonymized generations produced by Mistral Small 3 vs another model. ollama run qwen3:32b 30B mixture-of-experts model with 3B active parameters. Models. 3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks. Ce dataset, créé par Jonathan Pacifico, comprend 110 368 instructions en français générées par OpenAI GPT-3. 1. 5-VL-72B-Instruct, it achieves competitive performance in a series of benchmarks covering domains and tasks, including college-level problems, math, document understanding, general question answering, math, and visual agent. Offline Capability: After downloading a model, you can use Cline with that model even without an internet connection. Training in French also improves the model in English, surpassing the performances of its base model. 2 is a family of long-context AI models fine-tuned for thinking capabilities. This is desired for interactive experiences, such as chatbots, where the model engages in dialogue. But the output … Feb 26, 2025 · Granite-3. Vous avez sans doute remarqué le message d'avertissement could not connect to a running Ollama instance Mixtral 8x22B sets a new standard for performance and efficiency within the AI community. May 2, 2025 · Install or Update Ollama: Make sure you have the latest version of Ollama. Stable LM 2 1. Environs 100 modèles sont disponibles pour Ollama. 1% Pass@1 accuracy on AIME 2024, representing a 15% improvement over the base model (28. Mar 4, 2025 · ollama create <new_model> Crée un nouveau modèle à partir d’un modèle existant à des fins de personnalisation ou de formation. Chocolatine is the best-performing 3B model on the OpenLLM Leaderboard (july 2024) 5th best < 30B params (average benchmarks). Mar 13, 2024 · Usage: ollama [flags] ollama [command] Available Commands: serve Start ollama create Create a model from a Modelfile show Show information for a model run Run a model pull Pull a model from a registry push Push a model to a registry list List models cp Copy a model rm Remove a model help Help about any command Flags:-h,--help help for ollama -v The French General LLM Subreddit to discuss about Llama, the large language model created by Meta AI. This tool supports multiple languages and maintains the formatting integrity of Markdown documents during translation. Sentence-CamemBERT-Large is the Embedding Model for French developed by La Javaness. Jul 10, 2024 · Une fois l'installation terminée, ouvrez un terminal et vérifiez qu'elle s'est bien déroulée avec la commande ollama --version. What is … Ollama Tutorial: Your Guide to running LLMs Locally Read More » Mar 13, 2025 · A preamble conditions the model on interactive behaviour, meaning it is expected to reply in a conversational fashion, provides introductory statements and follow-up questions, and uses Markdown as well as LaTeX where appropriate. but you could develop a fine tune with the help of a much larger model, like gpt4, in a week or so. Ollama handles the download and setup automatically. 5-turbo. Jun 6, 2024 · Modèle Llama3 Français sur Ollama. 6b 12b 113. ollama show <model> Affiche les détails d’un modèle spécifique, tels que sa configuration et sa date de sortie. 6B is a state-of-the-art 1. ollama run qwen3:1. Key features. 5 and Flan-PaLM on many medical reasoning tasks. $ ollama --version Warning: could not connect to a running Ollama instance Warning: client version is 0. Window context = 4k tokens. 2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes. From “Is the moon really made of Ollama is a great solution to run large language models (LLMs) on your local system. Apr 4, 2024 · Dans cet article, nous allons étudier le fonctionnement de Ollama et comment ces initiatives open source révolutionnent l’usage et l’ouverture des modèles d’IA générative au plus grand nombre. 6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch. I am not a coder but they helped me write a small python program for my use case. Combining Cohere’s Command model family with a year of focused research in multilingual optimization has produced versatile 8B and 32B parameter models that can understand and generate text across 23 languages while maintaining high performance across all of them. Stable LM 2 is a state-of-the-art 1. The models are trained on over 10 trillion tokens of data, the Granite MoE models are ideal for deployment in on-device applications or situations requiring instantaneous inference. Lancez et utilisez des grands modèles de langage localement. 1, it has been trained using a mix of permissively licensed open-source datasets and internally generated synthetic data designed for reasoning tasks. 5B using distributed reinforcement learning (RL) to scale up to long context lengths. Dec 2, 2024 · Découvrez Ollama, exécutez des modèles de langage LLMs localement en toute confidentialité et personnalisez LLama facilement sur votre appareil ! Oct 18, 2024 · In this experiment, we’re pitting four popular models from Ollama — Tinyllama, Mistral, Llama 2, and Llama 3 — against each other to see who comes out on top. It is available in 8B and 35B parameter sizes: 8B ollama run aya:8b; 35B ollama run aya:35b; References. Supports translation between English, French, Chinese(Mandarin) and Japanese. The Ollama Python and JavaScript libraries have been updated to support structured outputs. gif) Stable LM 2 is a state-of-the-art 1. Vous pouvez télécharger ces modèles sur votre ordinateur local, puis interagir avec ces modèles via une invite de ligne de commande. svg, . Envisager l’inférence LLM sur des machines standards. Multi-lingual by design: Dozens of languages supported, including English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch and Polish. 5K Pulls 84 Tags Updated 1 year ago Sep 25, 2024 · The 1B model is competitive with other 1-3B parameter models. I want to use ollama for generating translations from English to German. Une autre caractéristique remarquable d’Ollama est sa large prise en charge de diverses plateformes, notamment macOS, Linux et Windows. ollama run <model> Exécute le modèle spécifié, le rendant prêt pour l’interaction This model, based on the Qwen 2. Ollama offers a variety of uncensored LLMs, each with unique characteristics. Supported Languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai are officially Dec 18, 2024 · 30M: English 278M: English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, Chinese (Simplified) Granite dense models The Granite dense models are available in 2B and 8B parameter sizes designed to support tool-based use cases and for retrieval augmented generation (RAG), streamlining code generation Ollama is a tool used to run the open-weights large language models locally. For coding I had the best experience with Codeqwen models. It’s quick to install, pull the LLM models and start prompting in your terminal / command prompt. Paste, drop or click to upload images (. Llama 4 Maverick ollama run llama4:maverick 400B parameter MoE model with 17B active parameters. 5K Pulls 84 Tags Updated 1 year ago plug whisper audio transcription to a local ollama server and ouput tts audio responses - maudoin/ollama-voice ollama create choose-a-model-name -f <location of the file e. Though that model is to verbose for instructions or tasks it's really a writing model only in the testing I did (limited I admit). The purpose of this embedding model is to represent the content and semantics of a French sentence in a mathematical vector which allows it to understand the meaning of the text-beyond individual words in queries and documents, offering a powerful semantic search. It’s use cases include: Personal information management; Multilingual knowledge retrieval; Rewriting tasks running locally on edge; ollama run llama3. Ce dépôt contient le modèle Llama3 Français (MathiasB/llama3fr), ayant comme base llama3 et entraîné sur le dataset French-Alpaca-dataset-Instruct-110K. 3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). Limitations May 15, 2025 · Passing image embeddings from the vision model into the text model therefore demands model-specific logic in the orchestration layer that can break specific model implementations. fine-tune a specific english/language pair based on llama. tools 3,082 Pulls 1 Tag Updated 4 months ago Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual, generative large language research model (LLM) covering 23 different languages. Within Ollama, each model is fully self-contained and can expose its own projection layer, aligned with how that model was trained. Run from Terminal: Open your terminal or command prompt. ollama list. Support multi-plateforme. Llama 3. It is a sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. To run Llama 4 Scout: ollama run Sep 25, 2024 · Llama 3. Modèles Ollama. 4K Pulls 84 Tags Updated 1 year ago Meditron is a large language model adapted from Llama 2 to the medical domain through training on a corpus of medical data, papers and guidelines. Supported Languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai are officially ollama-translator is a Python-based command-line tool designed to translate Markdown files using a local Ollama API model. 9K Pulls 84 Tags Updated 1 year ago using the jpacifico/french-orca-dpo-pairs-revised rlhf dataset. 5-turbo, au format Alpaca, pour Mar 13, 2024 · tl;dr : Ollama héberge sa propre liste de modèles auxquels vous avez accès. 6 days ago · ollama reset: 模型名称错误: 仔细核对目标模型名称是否正确，并确认其是否存在。 可通过访问Ollama官方文档或模型仓库页面进行验证。 模型被移除或存储位置更改: 检查模型是否已被开发者移除，或者其存储路径是否发生了变更。 Ollama: Le guide ultime pour la création de modèles Ollama is an open-source platform designed to run large language models locally. png, . The model achieves 43. Intended Use. run 100k bidirectonal inference translations or so using gpt4, then use that dataset to fine tune your favorite llama model. Aya 23: Open Weight Releases to Further Multilingual Progress paper Jan 15, 2025 · Ollama, an open-source platform, allows users to run these models locally. Mistral-Large-Instruct-2411 is an advanced dense Large Language Model (LLM) of 123B parameters with state-of-the-art reasoning, knowledge and coding capabilities. We are aware that in some cases the benchmarks on human judgement starkly differ from publicly available benchmarks, but have taken extra caution in verifying a fair evaluation. 2:1b Benchmarks. xbiheq ken lmfup mxzs qlmd xxxeqx sgsv wkhxeb glmlrcq niwiyj