---
license: mit
library_name: transformers
tags:
- preserved
- repository-exploration
- subagent
- coder
- agentic
- qwen3
- 256k
- long-context
language:
- en
pipeline_tag: text-generation
---

PRESERVED ORIGINAL // REMOVED BY MICROSOFT FROM HF + GITHUB // MIT
microsoft/FastContext ──▶ 404
github.com/microsoft/FastContext ──▶ 404
│
▼
┌──────────────────────────┐
│ weights preserved here │
│ bf16 · 8.0 GB · intact │
└──────────────────────────┘
you can't un-open-source
FASTCONTEXT-1.0-4B-SFT
PRESERVED ORIGINAL WEIGHTS · QWEN3 DENSE 4B · 256K CONTEXT · BF16 · 8.0 GB
WEIGHTS BF16 · UNMODIFIED |
ARCH QWEN3 DENSE · 36L |
CONTEXT 256K NATIVE |
LICENSE MIT |
> Microsoft open-sourced FastContext under MIT, then **deleted it from both HuggingFace and GitHub** about two weeks later (verified: 404 on both, 2026-07-02). MIT means preservation is legal — so here it is, unmodified. **Own your AI: a model on your disk can't be sunset by a quarterly review.**
## 🔍 What it is
A **repository-exploration subagent** for coding agents. Invoked on demand by your main agent, it fires **parallel read-only tool calls** (`READ` / `GLOB` / `GREP`) across a repo and returns **only the file paths + line ranges that matter**, as compact context. Your frontier coding agent stops wasting its context window (and your bill) crawling the file tree.
Microsoft's (now-deleted) announcement reported **~60% fewer tokens** from the main coding agent and **+5.5% on SWE-bench** — their figures; the source no longer exists to cite.
**Architecture**: plain `Qwen3ForCausalLM` dense 4B — 36 layers, 256K native context. No exotic modules; loads with standard `transformers`.
## 🚀 Quick start
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
m = AutoModelForCausalLM.from_pretrained("KikoCis/FastContext-1.0-4B-SFT", torch_dtype="bfloat16", device_map="auto")
tok = AutoTokenizer.from_pretrained("KikoCis/FastContext-1.0-4B-SFT")
```
**Don't want 8 GB?** Grab the **GGUF quants** (1.96–2.5 GB, long-context imatrix, retrieval-validated 30/30 vs this bf16):
👉 [KikoCis/FastContext-1.0-4B-longctx-imatrix-GGUF](https://huggingface.co/KikoCis/FastContext-1.0-4B-longctx-imatrix-GGUF)
## ⚠️ Good to know
- It's a **scout, not a solver** — it finds and returns evidence; pair it with a main coding agent that writes the actual fix.
- Upstream docs, harness code and issues were deleted along with the repos; usage conventions here come from the announcement and community mirrors.
- Weights are **byte-identical** to the (re-uploaded) original — no fine-tuning, no edits.
## 📚 Credit & license
Model, weights, training: **© Microsoft** (MIT). This is a preservation mirror sourced via the `ShaunGves/FastContext-1.0-4B-SFT` re-upload after `microsoft/FastContext-1.0-4B-SFT` was removed. Nothing modified. Quantized companion + validation: KikoCis.