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323.6K views
🚀 Fireworks Reinforcement Fine-Tuning (RFT) launched!
After many months of iteration with real world use cases, we are excited to launch Fireworks RFT public preview. It’s a managed RL service that turns open frontier models (e.g. DeepSeek V3, Kimi K2) into custom agents for
107.7K views
🔥 Introducing Fireworks f1 🔥
f1 is the first reasoning system over open models to beat GPT-4o and Claude 3.5 Sonnet across hard coding, chat and math benchmarks.
💥 two variants now available in preview: f1 and f1-mini
💥 access the preview on Fireworks AI Playground for
97.1K views
🔥 Structure is all you need. 🔥
We’re excited to announce:
- FireFunction V1 - our new, open-weights function calling model:
- GPT-4-level structured output and decision-routing
at 4x lower latency
- open-weights, commercially usable
- Blog post:
56.7K views
🔥🔥Announcing FireLLaVA -- the first multi-modal LLaVA model, trained by @FireworksAI_HQ , with a commercially permissive license. It’s also our first open source model!
While the industry heavily uses text-based foundation models to generate responses, in real-world
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🔥 Top post: 🚀 Fireworks Reinforcement Fine-Tuning (RFT) launched! After ma · 323.6K views
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🔥 Top post
🚀 Fireworks Reinforcement Fine-Tuning (RFT) launched!
After many months of iteration with real world use cases, we are excited to launch Fireworks RFT public preview. It’s a managed RL service that turns open frontier models (e.g. DeepSeek V3, Kimi K2) into custom agents for
Fireworks passed ASIC speed!
First time, GPU based inference crossed an ASIC provider.
Benchmark credit to AA
Model: GPT-OSS-120B
Speed: 540 TPS
Legend: Purple - Fireworks on B200; Orange - Groq
🚀 Deepseek V3.1 a big step in coding and agentic progress
This release focused significantly on multi-step tool usage and agent use cases. It is catching up to Sonnet 4 in coding agent tasks, and beats Sonnet 4 in reasoning and math tasks…
🔥 Reaching 147 t/s for Kimi-K2 🔥
What a month for open weight models!
We launched @FireworksAI_HQ APIs for 5 SOTA models - Kimi K2, Qwen3-coder 480B, Qwen3 235B 2507, Qwen3 235B Thinking, GLM 4.5. We know both latency and cost are im…
I'm excited to partner with @perplexity_ai in advancing deep research! 🔥 🚀
Perplexity has been pushing the boundaries of the depth and accuracy of logical reasoning for research. They released a SOTA open-weights model, Perplexity R1-17…
🔥 Introducing Fireworks f1 🔥
f1 is the first reasoning system over open models to beat GPT-4o and Claude 3.5 Sonnet across hard coding, chat and math benchmarks.
💥 two variants now available in preview: f1 and f1-mini
💥 access the pre…
🔥 FireAttention v3 -- enabling viable alternatives in the GPU inference serving market 🔥
Engineers at @FireworksAI_HQ have successfully ported FireAttention to AMD MI300s, resulting in 80% more throughput and 60% faster latency than NIM…
There’s been much discussion recently about comparing the quality of quantized models. Check out our blog on how Fireworks thinks about quantization https://t.co/16ZGbTsPCb
1) There’s no one size fits all for quantization. There are a var…
Fireworks AI has raised $52M in Series B funding led by @sequoia !
This round propels our mission to enhance our inference platform and lead the shift to compound AI systems. Huge thanks to our investors @nvidia , @AMD , @MongoDB , @bench…
🔥 FireAttention v2: speed and long context, pick two! 🔥
At @FireworksAI_HQ , we challenge ourselves constantly -- can we develop a dramatically more efficient serving for LLMs with RAG in a long context window with negligible quality tra…
💡 Facts
🕵️ Fake follower check
Estimated- Est. 69% real, active audience · Medium fake-follower risk.
- Low engagement (~0.2× of followers engage each post) — a sign of an inflated or inactive audience.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (17+ years old).
- 0.21% engagement — below the ~14.4% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
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Federal Ministry of Finance
14%
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14%
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13%
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13%
New York Mets
11%
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10%
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