LLM Models · tiiuae
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
This repository presents Falcon-H1R-7B , a reasoning-specialized model introduced in the paper Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling.
This repository presents post FP8 quantized Falcon-H1R-7B-FP8 via NVIDIA Model Optimizer, enabling efficient inference while preserving the strong reasoning introduced in the paper Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling.
Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license.
Tiny model for development purpose !
0. TL;DR 1. Model Details 2. Training Details 3. Usage 4. Evaluation 5. Citation
0. TL;DR 1. Model Details 2. Usage 3. Training Details 4. Evaluation
Falcon-7B-Instruct is a 7B parameters causal decoder-only model built by TII based on Falcon-7B and finetuned on a mixture of chat/instruct datasets. It is made available under the Apache 2.0 license.
Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.
Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.
0. TL;DR 1. Model Details 2. Training Details 3. Usage 4. Evaluation 5. Citation
Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B parameters.
Falcon-40B is a 40B parameters causal decoder-only model built by TII and trained on 1,000B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license.