Files
Deneb-Qwen3-Radiation-0.6B-…/README.md
ModelHub XC f273f032b9 初始化项目,由ModelHub XC社区提供模型
Model: prithivMLmods/Deneb-Qwen3-Radiation-0.6B-GGUF
Source: Original Platform
2026-11-07 13:22:12 +08:00

2.1 KiB

license, base_model, language, pipeline_tag, library_name, tags
license base_model language pipeline_tag library_name tags
apache-2.0
prithivMLmods/Deneb-Qwen3-Radiation-0.6B
en
text-generation transformers
text-generation-inference
Abliterated
math
code
multilingual
polished

Deneb-Qwen3-Radiation-0.6B-GGUF

Deneb-Qwen3-Radiation-0.6B is a reasoning-focused model fine-tuned on Qwen for Abliterated Reasoning and polished token probabilities, enhancing balanced multilingual generation across mathematics and general-purpose reasoning. It specializes in event-driven logic, structured analysis, and precise probabilistic modeling—making it an ideal tool for researchers, educators, and developers working with uncertainty and structured reasoning.

Model Files

File Name Quant Type File Size
Deneb-Qwen3-Radiation-0.6B.BF16.gguf BF16 1.2 GB
Deneb-Qwen3-Radiation-0.6B.F16.gguf F16 1.2 GB
Deneb-Qwen3-Radiation-0.6B.F32.gguf F32 2.39 GB
Deneb-Qwen3-Radiation-0.6B.Q2_K.gguf Q2_K 296 MB
Deneb-Qwen3-Radiation-0.6B.Q3_K_L.gguf Q3_K_L 368 MB
Deneb-Qwen3-Radiation-0.6B.Q3_K_M.gguf Q3_K_M 347 MB
Deneb-Qwen3-Radiation-0.6B.Q3_K_S.gguf Q3_K_S 323 MB
Deneb-Qwen3-Radiation-0.6B.Q4_0.gguf Q4_0 382 MB
Deneb-Qwen3-Radiation-0.6B.Q4_1.gguf Q4_1 409 MB
Deneb-Qwen3-Radiation-0.6B.Q4_K.gguf Q4_K 397 MB
Deneb-Qwen3-Radiation-0.6B.Q4_K_M.gguf Q4_K_M 397 MB
Deneb-Qwen3-Radiation-0.6B.Q4_K_S.gguf Q4_K_S 383 MB
Deneb-Qwen3-Radiation-0.6B.Q5_0.gguf Q5_0 437 MB
Deneb-Qwen3-Radiation-0.6B.Q5_1.gguf Q5_1 464 MB
Deneb-Qwen3-Radiation-0.6B.Q5_K.gguf Q5_K 444 MB
Deneb-Qwen3-Radiation-0.6B.Q5_K_M.gguf Q5_K_M 444 MB
Deneb-Qwen3-Radiation-0.6B.Q5_K_S.gguf Q5_K_S 437 MB
Deneb-Qwen3-Radiation-0.6B.Q6_K.gguf Q6_K 495 MB
Deneb-Qwen3-Radiation-0.6B.Q8_0.gguf Q8_0 639 MB

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png