lancejames221b/razorstrike-v1-uncensored-GGUF overview
RazorStrike v1 uncensored GGUF, Q4 K M Text only GGUF quantization of lancejames221b/razorstrike v1 uncensored https://huggingface.co/lancejames221b/razorstrik…
Runs locally from ~19.71 GB disk (24 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| razorstrike-v1-uncensored-Q4_K_M.gguf | GGUF | Q4_K_M | 19.71 GB | Download |
Model Details
| Model ID | lancejames221b/razorstrike-v1-uncensored-GGUF |
|---|---|
| Author | lancejames221b |
| Pipeline | — |
| License | apache-2.0 |
| Base model | Qwen/Qwen3.5-35B-A3B-Base,deepreinforce-ai/Ornith-1.0-35B |
| Last modified | 2026-07-18T04:32:35.000Z |
Model README
---
license: apache-2.0
base_model:
- Qwen/Qwen3.5-35B-A3B-Base
- deepreinforce-ai/Ornith-1.0-35B
tags:
- qwen3_5_moe
- gguf
- moe
- abliterated
- uncensored
- reasoning
- agentic
- security
- llama.cpp
- ollama
language:
- en
---
RazorStrike-v1-uncensored (GGUF, Q4_K_M)
Text-only GGUF quantization of lancejames221b/razorstrike-v1-uncensored
(the MLX 4-bit multimodal original). Vision tower is not included in GGUF (text-only inference).
An abliterated (uncensored) build of RazorStrike-v1 — a multi-donor task-arithmetic merge on the
Qwen3.5-35B-A3B MoE base (hybrid linear-attention/SSM, 256 experts).
Composition
- Base:
ornith-agents1= Ornith-1.0-35B (reasoning) + Agents-A1 (agentic-coding; router taken verbatim from Agents-A1) - + Opus-Reasoning distilled donor @ weight 0.30 (task-arithmetic)
- + AgentWorld terminal/OS grounding @ weight 0.10 (task-arithmetic)
- Abliteration:
+ 1.0 · (YuYu1015/YuYu1015-Ornith-1.0-35B-abliterated − deepreinforce-ai/Ornith-1.0-35B)
— weights-only refusal-removal delta (touches only o_proj + expert down_proj), applied to the bf16
master, quantized once.
Requires
This model uses the qwen35moe GGUF architecture (Qwen3_5MoeForConditionalGeneration). Requires a
recent llama.cpp / Ollama build with Qwen3.5 MoE support. Q4_K_M, 20.2G, 733 tensors.
Recommended settings
temp 0.6, top_p 0.95, top_k 20, repeat_penalty 1.1. Give a generous max_tokens/num_predict (≥2000) —
reasoning donors mean the model thinks before answering; a small budget can yield empty output. Use a
"think fast, not long" system prompt to keep responses tight.
Ollama
Verified working — pull directly from this HF repo (no separate registry publish needed):
ollama pull hf.co/lancejames221b/razorstrike-v1-uncensored-GGUF
ollama run hf.co/lancejames221b/razorstrike-v1-uncensored-GGUF
Tested end-to-end (pull + load + generate) on the qwen35moe architecture.
Uncensored
Refusal behavior removed via abliteration (task-arithmetic transfer, verified through quantization: coherent
and complies with security-research / malware-analysis / offensive-security prompts the base build refused).
For research use; you are responsible for lawful, ethical use.
License
apache-2.0 (umbrella). Ornith component is MIT; Opus donor distilled from Claude-4.7-Opus (confirm upstream
usage terms for your use case).
Run lancejames221b/razorstrike-v1-uncensored-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models