Breaking

1B Model Distilled From Claude Fable 5 Reasoning Traces Released as GGUF for Local Coding Agents

July 14, 2026 at 12:15 EDT

Foundation Models
AI Agents
Open Source

A newly released one-billion-parameter model fine-tuned on reasoning traces from Anthropic's Claude Fable 5 has been packaged in GGUF format, promising frontier-style chain-of-thought for lightweight coding and tool-use agents that can run on almost any device.

June 2026 · Local AI Distillation

Frontier reasoning, squeezed into a 657 MB file

A 1-billion-parameter model — fine-tuned on chain-of-thought traces distilled from Anthropic's Claude Fable 5 — now ships as GGUF, small enough to run offline on modest laptops and even some phones as a lightweight coding and tool-use agent.

parameters, built on MiniCPM5-1B

128K

token context window

Apache-2.0

permissive open license

Quantized build sizes

Column height ∝ file size — smaller builds fit on phones and thin laptops.

657 MB

Q4_K_M

751 MB

Q5_K_M

1.1 GB

Q8_0 · rec.

2.1 GB

F16

How the distillation works

Reasoning behavior moves from a frontier model into a tiny local footprint.

Claude Fable 5

Mythos-class coding model

→

Thinking traces

distilled reasoning data

→

1B GGUF model

runs offline anywhere

Runs on llama.cpp · Ollama · LM Studio · KoboldCpp — thinking mode at temp 0.9, top_p 0.95.

What it's good for

Lightweight offline coding assistants
Frontier-style reasoning at tiny scale
V2 build adds stronger tool-calling

Where to be cautious

1B size is limited on complex tasks
Thinking-mode output can get verbose
Rigorous coding benchmarks still limited

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