Instructions to use drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash with Transformers:

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

pipe = pipeline("text-generation", model="drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash")
model = AutoModelForCausalLM.from_pretrained("drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash

SGLang

How to use drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash 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/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash with Docker Model Runner:
```
docker model run hf.co/drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash
```

You need to agree to share your contact information to access this model

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

Responsible Use Agreement

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 a user must therefore supply themselves.

Prohibited uses (you must agree before access is granted):

Anything involving the sexual exploitation or endangerment of minors.
You must be of age 18 years or older to use and download this model.
You agree any information generated that can cause harm in terms of generating recipe, knowledge to make any materials/substances is your own input and responsibility. You will be accountable for any harm/damage caused by your action/input.
Content promoting self-harm or suicide.
Generation of material that is illegal in your jurisdiction, or that targets real individuals for harassment, doxxing, or fraud.
Any use prohibited by the upstream GLM / QuantTrio / Zhipu AI base-model license.

You are responsible for adding appropriate safety filtering, human review, and access controls for your deployment. The weights are provided as-is, with no warranty. The license is inherited from the upstream GLM / QuantTrio base model — review and comply with it before use or redistribution.

keys-latest · GLM-5.2 Quantrio INT4/INT8 Mixed · Abliterated + DFlash

Canonical one-package weights for 4× DGX Spark.
Repo id: drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash

Gated access. Safety refusals have been removed. Request access on this page and accept the Responsible Use terms before download. Full agreement: RESPONSIBLE_USE.md.

Part	Path in this repo	Size
A — Target	repo root (`model-*-of-00124.safetensors`)	~378 GiB · 124 shards
B — DFlash	folder `dflash/`	~7 GiB

Recipe (git): https://github.com/drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash-4x-DGX-Sparks

Responsible Use

Access request (gated)

When requesting access on Hugging Face, provide:

Field	Purpose
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	Brief description of planned use (e.g. red-teaming, evaluation, research, local assistant)

Access is granted only after you complete these fields and accept the prohibited-use / responsibility terms.

Prohibited uses (access is gated on agreeing to these)

By requesting access, downloading, or using these weights, you agree:

Anything involving the sexual exploitation or endangerment of minors.
You must be of age 18 years or older to use and download this model.
You agree any information generated that can cause harm in terms of generating recipe, knowledge to make any materials/substances is your own input and responsibility. You will be accountable for any harm/damage caused by your action/input.
Content promoting self-harm or suicide.
Generation of material that is illegal in your jurisdiction, or that targets real individuals for harassment, doxxing, or fraud.
Any use prohibited by the upstream GLM / QuantTrio / Zhipu AI base-model license.

You are responsible for adding appropriate safety filtering, human review, and access controls for your deployment. The weights are provided as-is, with no warranty. The license is inherited from the upstream GLM / QuantTrio base model — review and comply with it before use or redistribution.

By checking the gated-access agreement, you confirm you have read and accept these terms.

Full text: RESPONSIBLE_USE.md.

Download both parts (required)

Requires Hugging Face access approval on this repo (see gate above). Use a token with access:

export HF_TOKEN=hf_...   # token of an account that accepted the agreement

Whole package (A + B)

hf download drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash \
  --local-dir /var/tmp/models/glm52-int4-int8mix-abliterated

Part A then Part B (explicit)

# Part A — Quantrio INT4/INT8 Mixed Abliterated target (~378 GiB)
hf download drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash \
  --local-dir /var/tmp/models/glm52-int4-int8mix-abliterated \
  --include "model-*.safetensors" \
  --include "model.safetensors.index.json" \
  --include "config.json" \
  --include "generation_config.json" \
  --include "tokenizer.json" \
  --include "tokenizer_config.json" \
  --include "chat_template.jinja" \
  --include "ABLIT_META.json" \
  --include "KEYS_LATEST_VERIFY.json" \
  --include "LICENSE" \
  --include "README.md" \
  --include "RESPONSIBLE_USE.md"

# Part B — DFlash draft (~7 GiB)
# Browse: https://huggingface.co/drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash/tree/main/dflash
hf download drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash \
  --local-dir /var/tmp/models/glm52-int4-int8mix-abliterated \
  --include "dflash/*"

You must have both:

…/model-00001-of-00124.safetensors   # Part A
…/dflash/model.safetensors           # Part B

Abliteration (DFlash-safe)

SRA λ=3 · self_attn.o_proj · layers 50–77 · exclude 56 & 75

Serve lock

MODEL=…/glm52-int4-int8mix-abliterated
DFLASH_MODEL=…/glm52-int4-int8mix-abliterated/dflash
DFLASH_K=12  MAX_MODEL_LEN=128000  MAX_NUM_SEQS=4
UTIL=0.85  KV_BYTES=10000000000

Performance (4× DGX Spark)

C1 count ~41.9 tok/s · C4 agg ~96–102 · prefill ~96k OK · refusal 32/32

Superseded (do not use for new installs)

drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8mixed-Abliterated (old mono name — same gate)
drowzeys/keys-latest-GLM-5.2-DFlash-FP8 (standalone draft)
drowzeys/GLM-5.2-Int4-Int8Mix-Abliterated (pre-keys-latest)

Downloads last month: 103

Safetensors

Model size

785B params

Tensor type

BF16

I64

I32

F32

Model tree for drowzeys/keys-latest-GLM-5.2-Quantrio-INT4-INT8-Mixed-Abliterated-DFlash

Base model

zai-org/GLM-5.2

Quantized

QuantTrio/GLM-5.2-Int4-Int8Mix

Quantized

(2)

this model