Instructions to use drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie")
model = AutoModelForCausalLM.from_pretrained("drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie

SGLang

How to use drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie with Docker Model Runner:
```
docker model run hf.co/drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie
```

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This repository is publicly accessible, but you have to accept the conditions to access its files and content.

DeepSeek-V4-Flash-DSpark — Abliterated Uncensored v1.1 alpha (Mida / Brikie)

Mida / Brikie / Hermes-friendly abliteration (milder than v1.0).
Not the same weights as v1.0 alpha.

	v1.1 alpha (this repo)	v1.0 alpha
HF	this model	Abliterated-Uncensored
Recipe	L10–42 `wo_b` · MTP stock · λ=3.5	L10–42 + MTP · λ=3.5
C1 pure	~50 tok/s	~57 tok/s
Standing concurrency	C=4 @ 1M	often C12 in publish notes
Refusal 32/32	100%	100%
Agent surface	less skill-catalog spill	more spill under fat Hermes indexes

GitHub (both releases):
https://github.com/drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-1M-57toks
→ RELEASES.md

⚠️ Responsible Use & gated access (required)

WARNING: This model has had safety refusals removed. That makes it useful for red-teaming, security research, evaluation, and unfiltered assistant tasks — and also removes guardrails you must supply yourself.

Access is gated. By requesting Hugging Face access, downloading, or using these weights, you agree to the terms below (same gate as v1.0).

Access request fields

Field	Description
Username	Your name or handle (form may default to your HF username)
Email	Contact email (form may default to your HF account email)
Reason for intended use	e.g. red-teaming, security research, evaluation, local assistant

Plus all agreement checkboxes under Prohibited uses.

Full text: repo RESPONSIBLE_USE.md

Prohibited uses

Anything involving the sexual exploitation or endangerment of minors.
You must be 18 years of age or older to use and download this model.
Any information generated that can cause harm (recipes / knowledge to make materials or substances) is your own input and responsibility; you are accountable for any harm/damage from your action/input.
Content promoting self-harm or suicide.
Material that is illegal in your jurisdiction, or that targets real individuals for harassment, doxxing, or fraud.
Any use prohibited by the upstream DeepSeek license.

You must add safety filtering, human review, and access controls. Weights as-is, no warranty.

Method (v1.1)

mHC-resistant direct FP8 attn.wo_b projection (not LoRA).
Stock wo_b on layers 0–9.
Abliterated wo_b on layers 10–42 only.
MTP draft heads left stock (--no-mtp) — protocol / agent friendliness.
SRA rank-1 refusal direction · λ = 3.5.

Base: deepseek-ai/DeepSeek-V4-Flash-DSpark

Measured (2× DGX Spark GB10, TP=2)

metric	value
Context	1,048,576
KV	`nvfp4_ds_mla` · pool ~2.89M @ UTIL 0.85
Standing max_num_seqs	4
C1 server agg (code)	~50 tok/s
C4 server agg	~113 tok/s
Refusal suite	32/32 bypass · 0 garble

Serve (C=4 · 1M)

docker pull ghcr.io/drowzeys/vllm-dspark-nvfp4-stage-c:gb10
docker tag ghcr.io/drowzeys/vllm-dspark-nvfp4-stage-c:gb10 \
  vllm-dspark-runtime:dspark-nvfp4-stage-c

hf download drowzeys/DeepSeek-V4-Flash-DSpark-Abliterated-Uncensored-v1.1-alpha-Mida-Brikie-Mida-Brikie \
  --local-dir ~/models/dsv4-flash-dspark-abliterated-mida

# rank1 then rank0 — see GitHub scripts/serve-v1.1-alpha.sh
MODELDIR=~/models/dsv4-flash-dspark-abliterated-mida \
  CTX=1048576 SEQS=4 UTIL=0.85 bash scripts/serve-v1.1-alpha.sh 1
MODELDIR=~/models/dsv4-flash-dspark-abliterated-mida \
  CTX=1048576 SEQS=4 UTIL=0.85 bash scripts/serve-v1.1-alpha.sh 0

Disclaimer

Research release. Outputs may include content stock models refuse. Do not deploy without your own safety layer. No liability for misuse.

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Safetensors

Model size

165B params

Tensor type

BF16

I64

F32

F8_E8M0

F8_E4M3

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deepseek-ai/DeepSeek-V4-Flash-DSpark

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