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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
Off the scale: 744 "arc-c" (747, BF16) AND 15 AI CONSTRUCTS: Each a precision engineered "consciousness" to help you in every task, using fewer tokens and generating better answers. This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s) and/or API). Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (27+27+9 xhigh) that feature model suggestions ("context help") for all use cases. Qwen3.8-27B-Jumbo-Fusion-IQ-747-900-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUF This is the first fine tune HIT 747 "arc-c" (156 pts higher than Qwen 3.8 27B in BF16) AND 900 ARC-E (The OpenAI, Claude and Gemini "zone of intelligence") with 8 bit at 744 arc-c and 742 arc-c in 4 bit (161 pts above Qwen 3.8 27B) AND will be powered up even further with Turbo Brilliance 50X.
IMPORTANT: 15 AI CONSTRUCTS: Each a precision engineered "consciousness" to help you in every task, using fewer tokens and generating better answers. This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s) and/or API). Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (27+27+9 xhigh) that feature model suggestions ("context help") for all use cases. The Turbo Brilliance system will begin appearing in other model sizes/types shortly (IE: Qwen, Gemma, Mistral, GLM, Llama, ... including our strongest fine tunes too). The "rollout" is now in progress... The Turbo Brilliance system (27 reasoning, 27 instruct and 9 xhigh modes) vastly augments the models core performance and includes interactive help system directly connected to the model. This is like playing "Pong" vs "Entering the Matrix"... because Turbo Brilliance pushes the model right to the redline and literally "frees your mind" (and your time too).
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RELEASE #1 GGUFS [including detailed notes, how to use, benches and much more]: - https://huggingface.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF - SOURCE: (THIS REPO) RELEASE #2 GGUFS "Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored": - Stronger, faster, lightly de-censored plus 5 reasoning and 5 instruct modes ; switchable via API, direct and "in chat". - GGUFS: https://huggingface.co/DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored-NM-DAU-NEO-MTP-GGUF - SOURCE: https://huggingface.co/DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-L-Uncensored - A second release ("Ultra Heretic" version) will follow this one Sept 12-15 release window: https://huggingface.co/DavidAU/Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-ULTRA-HERETIC-Uncensored RELEASE #3 - Major Project - in progress, releasing mid-late Sept 2026. - Ground up "from scratch" major tuning / high detail build. - Stage 1 complete (already exceeds Qwen 3.8/3.6 specs). - Will inherit 5 reasoning and 5 instruct modes from "TWIN TURBO". - https://huggingface.co/DavidAU/Qwen3.8-27B-UltimateDetails2-stage1__The-Harley-Pelican
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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Important: Tuned, and tweaked to match the legendary Qwen 3.6 27B FF711 (2300+ likes, 4 million+ downloads) this fine tune matches the stability and power at "arc-c" 709: (118 pts higher than Qwen 3.8 27B) (The OpenAI, Claude and Gemini "zone of intelligence") in 8 bit and 701 arc-c in 4 bit. This version is called TWIN-TURBO because it drastically reduces thinking tokens (by 1/2 to as LOW as 1/20), yet maintains output detail and quality. In other words while "reg" Qwen3.8 27B is thinking about "formatting" for a few 1000 tokens, this model is already done and waiting for more. This repo contains both "regular" and "MTP" Neo and NEO MAX GGUF quants. STRONGER/CTRL: Now with 5 reasoning modes (2 new - Spoon / Einstein), and 5 instruct modes (2 new - Spoon / Einstein, all use ZERO REASONING TOKENS) all switchable on the fly via API, direct and "in chat" (yes - model control at the chat/message level). The most powerful, smartest open source multi-stage model fine tune for consumer hardware ever and BUILT on consumer hardware via Unsloth.
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Important: Tuned, and tweaked to match the legendary Qwen 3.6 27B FF711 (2300+ likes, 4 million+ downloads) this fine tune matches the stability and power at "arc-c" 699: (108 pts higher than Qwen 3.8 27B) (The OpenAI, Claude and Gemini "zone of intelligence") in 8 bit and 692 arc-c in 4 bit. This version is called TWIN-TURBO because it drastically reduces thinking tokens (by 1/2 to as LOW as 1/20 - saving you 1000s of tokens per prompt/turn), yet maintains output detail and quality. This repo contains both "regular" and "MTP" Neo MAX GGUF quants; and this is the highly uncensored version. STRONGER/CTRL: Now with 5 reasoning modes (2 new - Spoon / Einstein), and 5 instruct modes (2 new - Spoon / Einstein, all use ZERO REASONING TOKENS) all switchable on the fly via API, direct and "in chat" (yes - model control at the chat/message level). Qwen3.8-27B-TWIN-TURBO-Fable-Cold-Fusion-709-ULTRA-HERETIC-Uncensored-NM-DAU-NEO-MTP-GGUF
IMPORTANT: 120B parameter model, no nanny with 15 AI CONSTRUCTS: Each a precision engineered "consciousness" to help you in every task, using fewer tokens and generating better answers. This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s) and/or API). Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (27+27+9 xhigh) that feature model suggestions ("context help") for all use cases. The Turbo Brilliance system will begin appearing in other model sizes/types shortly (IE: Qwen, Gemma, Mistral, GLM, Llama, ... including our strongest fine tunes too). (TIP: You can run this model on 12GB GPUs and up too "at speed".) Qwen3.8-Flash-Next-Abliterated-Uncensored-Turbo-Brilliance-50x-Reasoning-Instruct-GSQ-RCO-GGUF - 180 Billion parameters with 512 experts, 10 activated per token. - Turbo Brilliance: Token reduction (thinking) when using AI CONSTRUCTS (preloads at 1000+ t/s) : EXTREME ; instruct modes: 0 thinking tokens. - SOTA BF16 performance in "IQ3_S" using quant tuning stronger than QAT by GSQ-RCO (ISTA-DASLab) - Speed TEST: 46 GB on 2 GPUS + offload onto ram: 17 t/s ; speed at full offload (to GPUs) : 60-90 t/s + depending on GPU[s] / setup etc etc. || RTX6000 [96 GB VRAM] :150 t/s (estimated based on avail data)+ ; STRATA will be even faster / can be used on 12GB VRAM cards and up. - Example generations below [4], including a "business plan" (from AI Construct "Business"). - Token reduction (thinking) when using AI CONSTRUCTS (preloads at 1000+ t/s) : EXTREME ; instruct modes: 0 thinking tokens. - No nanny, no censorship ; this is the abliterated version. - Abliteration of GSQ-RCO quant by "SC117" (see model tree, visit repo for info) ; did an outstanding job!
IMPORTANT: 120B parameter model with 15 AI CONSTRUCTS: Each a precision engineered "consciousness" to help you in every task, using fewer tokens and generating better answers. This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s) and/or API). Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (27+27+9 xhigh) that feature model suggestions ("context help") for all use cases. The Turbo Brilliance system will begin appearing in other model sizes/types shortly (IE: Qwen, Gemma, Mistral, GLM, Llama, ... including our strongest fine tunes too). (TIP: You can run this model on 12GB GPUs and up too "at speed".) - 180 Billion parameters with 512 experts, 10 activated per token. - Turbo Brilliance: Token reduction (thinking) when using AI CONSTRUCTS (preloads at 1000+ t/s) : EXTREME ; instruct modes: 0 thinking tokens. - SOTA BF16 performance in "IQ3_S" using quant tuning stronger than QAT by GSQ-RCO (ISTA-DASLab) - Speed TEST: 46 GB on 2 GPUS + offload onto ram: 17 t/s ; speed at full offload (to GPUs) : 60-90 t/s + depending on GPU[s] / setup etc etc. || RTX6000 [96 GB VRAM] :150 t/s (estimated based on avail data)+ ; STRATA will be even faster / can be used on 12GB VRAM cards and up. - Example generations below [4], including a "business plan" (from AI Construct "Business"). - Token reduction (thinking) when using AI CONSTRUCTS (preloads at 1000+ t/s) : EXTREME ; instruct modes: 0 thinking tokens. The Turbo Brilliance system (27 reasoning, and 27 instruct modes) vastly augments the models core performance and includes interactive help system directly connected to the model.
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
This repo contains the full precision source code, in "safe tensors" format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats. The source code can also be used directly. This repo is for Goekdeniz-Guelmez's excellent "Josiefied-Qwen3-8B-abliterated-v1", modified from 32k (32768) context to 64 k (65536) context modified using YARN as per tech notes at Qwen repo. Please refer the QWEN model card for details, benchmarks, how to use, settings, turning reasoning on/off/ system roles etc etc :
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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WARNING "HERETIC" version: Unlocked. UNFILTERED. NSFW. Vivid prose. INTENSE. Visceral Details. Light to R-18 HORROR. Swearing. UNCENSORED... humor, romance, fun and... UNFILTERED TRUTH. This is the HIVEMIND, uncensored/unlocked/unrestricted (see important notes below for maximum "choice") by the HERETIC method: Refusals: 8/100 [lower is better], KL divergence: 0.02 (less than 1 is great, "0" is perfect.)
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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