MODEL PROFILE

Mythos-V2-9B-GGUF

fableforge-ai · Mythos-V2-9B-GGUF

> **23 official quantizations of fableforge-ai/Mythos-V2-9B** (Qwen3.5-9B — uncensored, 13.7/15 benchmark at Q4_K_M, hybrid linear-attention 256K arch). > **Imatrix note:** Low-bit `IQ1`/`IQ2`/`IQ3` quants are importance-matrix quantized (imatrix computed on 4.6 MB of general text). The final NextN/MTP block (`blk.32`) is quantized to `q8_0` in these files because it is never exercised during imatrix calibration. > **Speed (M3, Ollama):** Q4_K_M ≈ **2.8–3.5 tok/s** generation, ~45 tok/s prompt processing. Quantization > is not the bottleneck: Qwen3.5's hybrid linear-attention arch is slower per-token than dense Qwen3 in > Ollama/llama.cpp (dense 9B Q4s reach ~7 tok/s on the same hardware). Expect low-bit quants to score > below these numbers; Q4_K_M and above reproduce them faithfully.

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/31 00:32:31
OVERVIEW

Model overview

> **23 official quantizations of fableforge-ai/Mythos-V2-9B** (Qwen3.5-9B — uncensored, 13.7/15 benchmark at Q4_K_M, hybrid linear-attention 256K arch). > **Imatrix note:** Low-bit `IQ1`/`IQ2`/`IQ3` quants are importance-matrix quantized (imatrix computed on 4.6 MB of general text). The final NextN/MTP block (`blk.32`) is quantized to `q8_0` in these files because it is never exercised during imatrix calibration. > **Speed (M3, Ollama):** Q4_K_M ≈ **2.8–3.5 tok/s** generation, ~45 tok/s prompt processing. Quantization > is not the bottleneck: Qwen3.5's hybrid linear-attention arch is slower per-token than dense Qwen3 in > Ollama/llama.cpp (dense 9B Q4s reach ~7 tok/s on the same hardware). Expect low-bit quants to score > below these numbers; Q4_K_M and above reproduce them faithfully.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。