LFM2

LFM2

Liquid AI
+
+

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About

Code Llama is a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software. Code Llama is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. Code Llama is free for research and commercial use. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Codel Llama - Python specialized for Python; and Code Llama - Instruct, which is fine-tuned for understanding natural language instructions.

About

LFM2 is a next-generation series of on-device foundation models built to deliver the fastest generative-AI experience across a wide range of endpoints. It employs a new hybrid architecture that achieves up to 2x faster decode and prefill performance than comparable models, and up to 3x improvements in training efficiency compared to the previous generation. These models strike an optimal balance of quality, latency, and memory for deployment on embedded systems, allowing real-time, on-device AI across smartphones, laptops, vehicles, wearables, and other endpoints, enabling millisecond inference, device resilience, and full data sovereignty. Available in three dense checkpoints (0.35 B, 0.7 B, and 1.2 B parameters), LFM2 demonstrates benchmark performance that outperforms similarly sized models in tasks such as knowledge recall, mathematics, multilingual instruction-following, and conversational dialogue evaluations.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users interested in a powerful, free, open source large language model for coding

Audience

Developers and engineering teams needing a solution offering foundation models without reliance on cloud infrastructure

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
ai.meta.com/blog/code-llama-large-language-model-coding/

Company Information

Liquid AI
Founded: 2023
United States
www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models

Alternatives

Alternatives

Ministral 8B

Ministral 8B

Mistral AI
CodeGemma

CodeGemma

Google
Seed2.0 Lite

Seed2.0 Lite

ByteDance
CodeQwen

CodeQwen

Alibaba
Llama 2

Llama 2

Meta
Ministral 3B

Ministral 3B

Mistral AI
Llama 3

Llama 3

Meta
Gemma 2

Gemma 2

Google

Categories

Categories

Integrations

1min.AI
BLACKBOX AI
CodeQwen
Deep Infra
Hugging Face
IONOS Cloud AI Model Hub
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Ollama
OpenAI
OpenRouter
Pipeshift
Prefactor
Qwen3
Tabby
Together AI

Integrations

1min.AI
BLACKBOX AI
CodeQwen
Deep Infra
Hugging Face
IONOS Cloud AI Model Hub
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Ollama
OpenAI
OpenRouter
Pipeshift
Prefactor
Qwen3
Tabby
Together AI
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