Alternatives

Products that do what LLaMA does

A foundational, 65-billion-parameter large language model

1
NVLM 1.0▲200
Open frontier-class multimodal LLMs
2024
2
Code Llama 70B▲144
New, performant version of Meta's LLM for code generation
2024
3
Dream 7B▲191
Powerful Open Diffusion LLM, Beyond Autoregressive
2025
4
Ollama▲235
The easiest way to run large language models locally
2023
5
Meta Llama 3▲159
The most capable openly available LLM to date
2024
6
DeepHermes 3▲111
Intuitive responses and deep reasoning, in one model
2025
7
Mistral 7B▲111
The best 7B model to date, Apache 2.0
2023
8
2000 Large Language Models (LLM) Prompts▲106
Unlock your knowledge with 2000 LLM prompts
2023
9
GPT4All▲107
A chatbot trained on a massive collection of clean data
2023
10
Dolly▲113
Democratizing the magic of ChatGPT with open models
2023
11LM
LLaMArch – Minimal, Building Blocks for Large Language Models▲5
2024 · gpavanb1.github.io
12
Tiny Aya▲211
Local, open-weight AI designed for real-world languages
Apr 2026
13
Gradient▲153
Developer API for building private LLMs that you own
2023
14
Nebius AI Studio Fine-Tuning▲44
Transform generic AI models into specialized solutions
2025
15
Taylor AI▲118
Fine-tune open source LLMs in minutes
2023
16
Qwen2.5-Max▲59
Large language model series developed by Alibaba Cloud
2025
17
No Language Left Behind by Meta▲116
An open-source language translation system for 200 languages
2022
18
Shisa.AI▲110
Open-source foundation for superior Japanese LLMs
2025
19LA
Llamero – A GUI app to easily download, install and infer LLaMA models▲7
2023 · github.com
20LI
LanguageModels.io▲9
2018 · languagemodels.io
21AA
An all-in-one blog for learning Large Language Models (LLMs)▲5
An all-in-one blog for learning LLM ins and outs: tokenize, attention, PE, and more Project I've been diving deep into the internals of Large Language Models (LLMs) and started documenting my findings. My blog covers topics like: Tokenization techniques (e.g., BBPE) Attention mechanism (e.g. MHA, MQA, MLA) Positional encoding and extrapolation (e.g. RoPE, NTK-aware interpolation, YaRN) Architecture details of models like QWen, LLaMA Training methods including SFT and Reinforcement Learning If you're interested in the nuts and bolts of LLMs, feel free to check it out:…
2025 · comfyai.app
22A1
A 100-Line LLM Framework▲9
I've seen a lot of comments about how complex frameworks like LangChain can be. Over the holidays, I wanted to see how minimal an LLM framework could get if we stripped away everything non-essential. The result is an LLM framework in just 100 lines of code. These 100 lines capture what I see as the core abstraction of most LLM frameworks: a nested directed graph that breaks down tasks into multiple LLM steps, with branching and recursion to enable agent-like decision-making. From there, you can layer on more advanced features like agents, RAG, task decomposition, and more. I’ve intentionally…
2025 · github.com
23L3
Llama 3.2 3B and Keiro Research achieves 85% on SimpleQA▲6
ran this over the weekend. stack was Llama 3.2 3B running locally + Keiro Research API for retrieval. 85.0% on 4,326 questions. where that lands: ROMA (357B): 93.9% OpenDeepSearch (671B): 88.3% Sonar Pro: 85.8% Llama 3.2 3B + Keiro: 85.0% the systems ahead of us are running models 100-200x larger. that's why they're ahead. not better retrieval, not better prompting — just way more parameters. the interesting part is how small the gap is despite that. 3 points behind a 671B model. 0.8 behind Sonar Pro. at some point you have to ask what you're actually buying with all that compute for this…
Mar 2026 · keirolabs.cloud
24LM
Language Models API via the Cohere Platform▲18
2021 · os.cohere.ai

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