FireLLaVA 13B
FireLLaVA 13B is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 4k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- FireLLaVA
- Released
- 2024-04-10
- Context
- 4k
- Parameters
- 13B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open weights
- License
- Llama 2 CommunityCommercial use: conditional
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 1 route · Fireworks AI
About
FireLLaVA 13B is an advanced vision-language model (VLM) designed to process both images and text, excelling in tasks such as image-to-text generation and visual question answering. Built by integrating CodeLlama 34B Instruct with a vision component akin to OpenAI's CLIP-ViT, this model utilizes a training set consisting of 588K lines of single and multi-turn visual question answering data. As the first commercially permissive open-source LLaVA model, FireLLaVA 13B effectively mimics the multimodal capabilities of GPT-4, showing comparable or superior performance on certain benchmarks.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.900 | $0.900 | Serverless |
Available via routers & gateways(1)
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.
Cheapest of 1 route · Fireworks AI