天火

"An idea is like a virus. Resilient, highly contagious."
I just connect the dots and watch the game unfolds.

[天火 @0xskyfire]

@alexocheema https://t.co/fjjgIoJz6s

[天火 @0xskyfire]

@sudoingX Might be an interesting one
https://t.co/uMiMgNQmZV

[Bad theory labs @Badtheorylabs]

Today we are Introducing BTL-3.

A 27B open-weight agent model built for agentic coding, structural tool use . The complete thing fits in one 8.39GB file under 2.5 bits per parameter smaller than an 8B model in fp16, and retains 92.2% of the 27B itelligence

BTL-3 is trained for the loop real agents live in: reason, act, inspect the result, recover, continue. It handles single, sequential, and parallel tool calls and knows when the right move is no tool call at all.

HumanEval: 95.12% pass@1
BFCL v4 AST: 88.5% (full 1,240-case set)
Multiple tool calls: 95.5%
Tool-call abstention: 91.2%
262K context architecture

Two editions, both open today.

BTL-3 is the maximum-quality checkpoint, for Transformers and vLLM.

BTL-3 Compact is the entire model in one standalone 8.39GB GGUF. No base download. No reconstruction. One file, one command, a running agent.

Compressing 27B this far normally destroys a model. Standard quantization couldn't do it, so we built the stack ourselves: packed AVQ2 decoder tensors, affine INT4, measured precision islands, packed vocabulary matrices, rank-32 output correction, behavioral repair. 2,416 tensors byte-verified at export.

Then we tested whether the agent survived. On a fresh sealed 100-turn tool-contract gate, Compact retained 92.2% of teacher-correct behavior 100% on single, parallel, sequential, and abstention calls.

43 tok/s generation on an RTX PRO 6000. Fully local. Nothing leaves your machine.

BTL-3: https://t.co/ddZWWr6i3o
Compact: https://t.co/6URHEBGJgG
Runtime + source: https://t.co/MjXQR6koKt
Apache-2.0 model. MIT runtime.

[Samuel Cardillo @CardilloSamuel]

our potential future awaits

(seen in /r/LocalLLaMA)

[天火 @0xskyfire]

@karpathy @ycombinator How soon do we get a nano-karpathy?

[Elon Musk @elonmusk]

Banger 😂

[天火 @0xskyfire]

Can't imagine what Anthropic’s team is dealing with: Claude Code source code leaking on one end, and a gigachad (s/o to Jackrong) keeping the streak on improving Qwen3.5 with distillation of 4.6 Opus on the other end

[天火 @0xskyfire]

@dashen_wang 献上我的最高敬意

[天火 @0xskyfire]

@kimbochen good read ngl

[天火 @0xskyfire]

@KheZu Keep it up brother, enjoying every bit of it

[天火 @0xskyfire]

@Blitz_DotA remind of me San Antonio Spurs in NBA lmao

[The White Whale @WhiteWhaleLabs]

I need to step in here, because right is right and wrong is wrong. For some reason a couple dozen of you degens thought you needed to send me a certain clip. As a person who has had a one hour video call with her I can tell you this. She is not the woman in the video. I understand why acting out sometimes makes people feel better when there is so much pent up rage, but the truth still matters. We should stay focused on the real issues that need addressing to move forward. And that’s all I’ll say on the matter.

[天火 @0xskyfire]

@CryptoCaligh 黑哥 ansem 喊单了

[天火 @0xskyfire]

@wolfyxbt @MEXC_Official @cecilia_hsueh 狼哥 还不知道找番号还有这种功能，笑看你了

[天火 @0xskyfire]

@Bitget_zh 30

[天火 @0xskyfire]

@diamondhandjs 别喊了 太多人了

[天火 @0xskyfire]

@diamondhandjs change name to z$ hype69

[天火 @0xskyfire]

@Web3Tinkle 可能还可以把它的交易逻辑搞清楚？不过我也明白你的意思，毕竟重要的还是模型自主交易，但还是稍微黑箱了点 哈哈哈🤣

[天火 @0xskyfire]

@Web3Tinkle 也是，但是感觉目前就是对多单来说优势较大，也不确定是模型本身的偏见还是真有交易能力，哥怎么看