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Athene · Ollama
Search for models on Ollama.
  • athene-v2

    Athene-V2 is a 72B parameter model which excels at code completion, mathematics, and log extraction tasks.

    tools 72b

    594.6K  Pulls 17  Tags Updated  1 year ago

  • mistral-small3.1

    Building upon Mistral Small 3, Mistral Small 3.1 (2503) adds state-of-the-art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance.

    vision tools 24b

    791.2K  Pulls 5  Tags Updated  1 year ago

  • command-r7b-arabic

    A new state-of-the-art version of the lightweight Command R7B model that excels in advanced Arabic language capabilities for enterprises in the Middle East and Northern Africa.

    tools 7b

    205.4K  Pulls 5  Tags Updated  1 year ago

  • oodbilav1980/athenea-4b-coding

    Athenea-4B-Coding is a fine-tuned version of huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated, specialized in code reasoning, debugging, and problem solving.

    551  Pulls 1  Tag Updated  7 months ago

  • HammerAI/athene-v2-chat

    Nexusflow/Athene-V2-Chat

    tools

    10  Pulls 2  Tags Updated  2 months ago

  • vanilj/athene-v2-chat-iq3_xs

    Athene-V2-Chat-IQ3_XS

    tools

    94  Pulls 1  Tag Updated  1 year ago

  • presidenten/athene-v2-agent

    Joined the gguf's for https://huggingface.co/bartowski/Athene-V2-Agent-GGUF with `llama-gguf-split --merge`, then created this model using the Modelfile from the Q4_K_M version I got by pulling `ollama run hf.co/bartowski/Athene-V2-Agent-GGUF:Q4_K_M`

    tools

    14  Pulls 1  Tag Updated  1 year ago

  • finalend/athene-70b

    Trained through RLHF based off Llama-3-70B-Instruct, high scores on Arena-Hard-Auto.

    462  Pulls 12  Tags Updated  2 years ago

  • readon/athene-v2-agent

    tools

    14  Pulls 1  Tag Updated  1 year ago

  • athesus/nicola-mini

    Description: A compact, efficient model designed for quick responses and resource-constrained environments. Ideal for general conversational AI, basic task automation, and applications requiring fast inference times with minimal computational overhead

    tools

    61  Pulls 1  Tag Updated  9 months ago

  • athesus/nicola-ai-enhanced

    Domain: Enhanced AI / Advanced Capabilities Description: Premium enhanced model with advanced capabilities across multiple domains. Features improved performance, extended context understanding, and refined output quality for demanding applications.

    vision tools

    37  Pulls 1  Tag Updated  9 months ago

  • athesus/athesus-coder-corrected

    Domain: Code Generation / Software Development Description: 13-billion parameter model specialized in code generation, debugging, and software development assistance. Enhanced with corrections and refinements for improved code quality and accuracy.

    13b

    82  Pulls 1  Tag Updated  9 months ago

  • athesus/athesus-vision-v3.7

    Domain: Computer Vision / Image Processing Description: Refined version of our vision model with improved accuracy and stability. Offers robust performance for production environments requiring reliable visual understanding and analysis.

    52  Pulls 1  Tag Updated  9 months ago

  • athesus/athesus-mini

    Description: A compact, efficient model designed for quick responses and resource-constrained environments. Ideal for general conversational AI, basic task automation, and applications requiring fast inference times with minimal computational overhead.

    tools

    36  Pulls 1  Tag Updated  9 months ago

  • murtsu/capnstop

    Budgeted Reward Allocation is the name of the principle used in this model. It means it does the job, then stop. Period. IT is supposed to do the work and nothing else. So if you want use it , here it is. have fun.

    11  Pulls 1  Tag Updated  3 weeks ago

  • azerdsq/g2-nano-instruct

    A 60M-parameter GPT trained from scratch on a single 8GB Jetson (3B tokens), then instruction-tuned. SFT lowers mean_7 vs the base (40.16% vs 42.13%). Not an upgrade over g1-nano-instruct.

    10  Pulls 1  Tag Updated  1 week ago

  • zeyu-zheng/BFS-Prover-V2-7B

    BFS-Prover-V2 is the state-of-the-art step-level theorem proving model series for Lean4, used to predict the next tactic given a tactic state. The model is developed by the ByteDance Seed team.

    160  Pulls 3  Tags Updated  11 months ago

  • athesus/athesus-vision-v4

    Domain: Computer Vision / Multimodal AI Description: The latest iteration of our vision-capable model, featuring enhanced image understanding, object detection, and visual reasoning capabilities. Supports image analysis, scene understanding..

    vision tools

    136  Pulls 1  Tag Updated  9 months ago

  • aerocorp/afm

    The African Foundation Model (AFM) is a state-of-the-art language model specifically designed for African contexts, languages, and use cases. Built with the latest transformer optimizations from 2025 research. AFM combines power with efficiency.

    tools

    68  Pulls 46  Tags Updated  11 months ago

  • zeyu-zheng/BFS-Prover-V2-32B

    BFS-Prover-V2 is the state-of-the-art step-level theorem proving model series for Lean4, used to predict the next tactic given a tactic state. The model is developed by the ByteDance Seed team.

    30  Pulls 3  Tags Updated  11 months ago

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