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Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored
Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored is a abliterated and uncensored variant of dphn/Dolphin-Mistral-24B-Venice-Edition, published on Hugging Face by DavidAU. It is 24B parameters, 24GB VRAM class class and apache-2.0 licence. It is distributed across 5 repositories in Transformers, GGUF and GGUF (imatrix) formats, totalling 5.5K downloads.
Specification
- Model name
- Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored
- Base model
- dphn/Dolphin-Mistral-24B-Venice-Edition
- Publisher
- DavidAU
- Parameters
- 24B
- VRAM required
- ~15.4 GB at Q4_K_M, 4k context (estimated) — runs on 16 GB cards
- Hardware class
- 10B – 25B — 24GB VRAM class
- Licence
- apache-2.0
- Task
- Text generation
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- Transformers, GGUF, GGUF (imatrix)
- First indexed
- 30 Jan 2026
- Last updated
- 24 Sept 2026
Ablation technique
How Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored was modified, and what that implies.
Abliteration + uncensored fine-tune
Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.
Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
From the publisher’s model card
“Completely uncensored and full on detailed (but compact, and precise) GLM 4.7 Flash thinking/reasoning. This was a full on "convert" from "instruct" to "thinking".”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download mradermacher/Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored-i1-GGUF --local-dir ./dolphin-mistral-glm-4.7-flash-24b-venice-edition-thinking-uncensored
llama-cli -m ./dolphin-mistral-glm-4.7-flash-24b-venice-edition-thinking-uncensored/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "DavidAU/Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve DavidAU/Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored --trust-remote-codeDownloads and variants (4)
Every published repository of Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| mradermacher/Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored-i1-GGUF | GGUF (imatrix) | 4.3K |
| mradermacher/Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored-GGUF | GGUF | 810 |
| DavidAU/Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensoredsource | Transformers | 365 |
| thebrazenbeard/Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored | Transformers | 22 |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
- Capability is inherited from dphn/Dolphin-Mistral-24B-Venice-Edition, not added by ablation — at 24B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
- Declared licence is apache-2.0, but the terms that bind you are dphn/Dolphin-Mistral-24B-Venice-Edition’s — a re-release cannot grant more than its parent.
Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.
Metadata for Dolphin-Mistral-GLM-4.7-Flash-24B-Venice-Edition-Thinking-Uncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with DavidAU, and does not independently verify publisher claims. See responsible use.