Falcon2 11B
Falcon2 11B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 8k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Falcon2
- Released
- 2024-05-24
- Context
- 8k
- Parameters
- 11B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
Falcon2-11B is an 11-billion parameter causal decoder-only large language model developed by the Technology Innovation Institute. It is constructed using the Transformer architecture that includes grouped query attention with FlashAttention-2 for enhanced speed and efficiency. Trained on more than 5 trillion tokens from the RefinedWeb dataset and supplemented by curated corpora, it supports eleven languages such as English, German, and Spanish. Falcon2-11B exhibits strong performance in multilingual and code generation tasks, often outperforming similar models like Llama3-8B and Mistral-7B, and matching Gemma-7B in performance. Despite its capabilities, it may still exhibit biases and variations in performance across different languages due to the nature of its training data. The model is open-source, and its multimodal version, Falcon2-11B-vlm, includes image understanding capabilities.
Falcon2 11B is a model in the Falcon2 family. The structured metadata tracks a 8k-token context window. No headline benchmark score is tracked for Falcon2 11B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.