andreaborio/DeepSeek-V4-Flash-Hebrus-GGUF overview
DeepSeek V4 Flash — Hebrus ExpertMajor v2 This repository contains DeepSeek V4 Flash artifacts for andreaborio/hebrus https://github.com/andreaborio/hebrus , a…
Runs locally from ~80.76 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| DeepSeek-V4-Flash-0731-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix-DS4-ExpertMajor-v2.gguf | GGUF | IQ2XXS | 80.76 GB | Download |
| DeepSeek-V4-Flash-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix-DS4-ExpertMajor-v2.gguf | GGUF | IQ2XXS | 80.76 GB | Download |
| DeepSeek-V4-Flash-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix.gguf | GGUF | IQ2XXS | 80.76 GB | Download |
Model Details
| Model ID | andreaborio/DeepSeek-V4-Flash-Hebrus-GGUF |
|---|---|
| Author | andreaborio |
| Pipeline | text-generation |
| License | mit |
| Base model | deepseek-ai/DeepSeek-V4-Flash |
| Last modified | 2026-08-15T18:31:00.000Z |
Model README
---
license: mit
library_name: hebrus
pipeline_tag: text-generation
base_model: deepseek-ai/DeepSeek-V4-Flash
base_model_relation: quantized
quantized_by: antirez
language:
- en
tags:
- hebrus
- gguf
- deepseek
- deepseek-v4
- deepseek-v4-flash
- apple-silicon
- metal
- moe
- expert-major
- iq2_xxs
- q2_k
- imatrix
inference: false
---
DeepSeek V4 Flash — Hebrus ExpertMajor v2
This repository contains DeepSeek V4 Flash artifacts for
andreaborio/hebrus, a source-built
Apple Metal inference engine with bounded SSD expert streaming.
These files are Hebrus-native GGUF extensions. Routed MoE weights are stored
once in an embedded, checksummed ds4.expert_major.v2 store. The ds4 token
in existing filenames and in that tensor identifier is a stable compatibility
field; the runtime and Hugging Face library name are Hebrus.
> Hebrus is not a general GGUF runner. Use only the exact artifact and revision
> listed below. Generic llama.cpp, MLX, Ollama, and hosted Hugging Face
> inference cannot execute the embedded ExpertMajor store.
Supported artifacts
| Artifact | Support status | Hugging Face revision | Bytes | SHA-256 | Minimum unified memory |
| --- | --- | --- | ---: | --- | ---: |
| DeepSeek-V4-Flash-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix-DS4-ExpertMajor-v2.gguf | Hebrus 0.3.0 default · Qualified pinned download; selected by deepseek-v2 | ds4-v0.2.0, resolving to c0740cd4830f142068a6fbbe074f062f2c7c3d19 | 86,720,114,272 | 8378080263eb9224f7228d72e2afa4ac3cf74a116023fdec2c596ff228a33e3f | 64 GiB |
| DeepSeek-V4-Flash-0731-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix-DS4-ExpertMajor-v2.gguf | Current · Opt in; public and covered by dated Hebrus evidence, but not selected by deepseek-v2 | 63e5f2a8fedeeb77add33e13da5f946c043698bc | 86,720,114,240 | d89dd628ed786ecf14285cb886459eec01df89fd7e7bf3cbff1416a551bcd966 | 64 GiB |
The first row is the reproducible release path in the current Hebrus downloader
and runtime contract. The second row is intentionally not substituted into
that command: its retained results are scoped to the exact 0731 artifact,
hardware, prompts, and modes in the
records that a new exact-artifact DeepSeek smoke was skipped by maintainer
decision. No result from the byte-different 0731 artifact is attributed to the
pinned default.
The canonical GGUF without DS4-ExpertMajor-v2 is an offline converter input,
not an inference fallback. Hebrus rejects it during model admission.
Quick start: qualified pinned artifact
Requirements:
- an Apple Silicon Mac with at least 64 GiB unified memory;
- Xcode Command Line Tools;
- enough local SSD space for the 86,720,114,272-byte artifact;
- the official Hugging Face CLI.
git clone https://github.com/andreaborio/hebrus.git
cd hebrus
git checkout v0.3.0
xcode-select --install
python3 -m pip install -U huggingface_hub hf_xet
make -j
./download_model.sh deepseek-v2
./hebrus \
-m gguf/DeepSeek-V4-Flash-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix-DS4-ExpertMajor-v2.gguf \
--ctx 8192 \
-p "Explain bounded SSD expert streaming in one paragraph."
The downloader pins ds4-v0.2.0 and verifies both the complete byte count and
SHA-256 before reporting success. The model repositories are public and
ungated, so downloading does not require a Hugging Face token.
Normal startup uses AUTO. On qualified hardware it may resolve to resident
Metal execution or bounded SSD streaming. Do not add a sidecar, model-admission
bypass, manual expert-cache size, or backend flag to the release command.
Optional 0731 artifact
To reproduce the separate opt-in record, download the exact immutable path and
verify it independently:
hf download andreaborio/DeepSeek-V4-Flash-Hebrus-GGUF \
DeepSeek-V4-Flash-0731-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix-DS4-ExpertMajor-v2.gguf \
--repo-type model \
--revision 63e5f2a8fedeeb77add33e13da5f946c043698bc \
--local-dir gguf
shasum -a 256 \
gguf/DeepSeek-V4-Flash-0731-IQ2XXS-w2Q2K-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix-DS4-ExpertMajor-v2.gguf
Expected digest:
d89dd628ed786ecf14285cb886459eec01df89fd7e7bf3cbff1416a551bcd966.
This manual path does not change what deepseek-v2 downloads.
Compatibility and limits
- Apple Silicon and Metal are the only qualified production backend.
- The minimum qualified memory is 64 GiB; it is not a promise that every
context or concurrent workload fits.
- CPU is reference/debug only. CUDA and ROCm sources are absent, and
distributed inference is retired.
- ExpertMajor v1, sidecars, canonical routed-weight GGUF inference, and model
admission bypasses are rejected.
- Performance depends on the exact artifact, runtime revision, context,
prompt, storage state, memory pressure, routing locality, and thermals.
inference: falseis deliberate: these custom files are not served by the
Hugging Face hosted inference widget.
The current authority for supported modes and hardware floors is the
Hebrus runtime support contract.
License and attribution
The upstream deepseek-ai/DeepSeek-V4-Flash
repository declares the MIT license. DeepSeek retains the base-model
copyright. Quantization credit belongs to antirez and the DS4 project; the
embedded ExpertMajor v2 layout and current runtime are maintained by Hebrus.
Run andreaborio/DeepSeek-V4-Flash-Hebrus-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models