176 lines
5.2 KiB
Markdown
176 lines
5.2 KiB
Markdown
---
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base_model: DavidAU/Qwen3-Shining-Lucy-CODER-2.4B-mix2
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datasets:
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- sequelbox/Celestia3-DeepSeek-R1-0528
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- sequelbox/Mitakihara-DeepSeek-R1-0528
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- sequelbox/Raiden-DeepSeek-R1
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language:
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- en
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library_name: transformers
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license: apache-2.0
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mradermacher:
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readme_rev: 1
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quantized_by: mradermacher
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tags:
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- merge
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- programming
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- code generation
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- code
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- coding
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- coder
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- chat
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- code
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- chat
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- qwen
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- qwen3
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- qwencoder
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- esper
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- esper-3
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- valiant
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- valiant-labs
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- qwen
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- qwen-3
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- qwen-3-2.4b
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- 2.4b
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- reasoning
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- code
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- code-instruct
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- python
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- javascript
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- dev-ops
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- jenkins
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- terraform
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- scripting
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- powershell
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- azure
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- aws
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- gcp
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- cloud
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- problem-solving
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- architect
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- engineer
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- developer
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- creative
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- analytical
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- expert
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- rationality
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- conversational
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- chat
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- instruct
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- shining-valiant
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- shining-valiant-3
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- valiant
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- valiant-labs
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- qwen
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- qwen-3
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- qwen-3-1.7b
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- 1.7b
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- reasoning
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- code
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- code-reasoning
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- science
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- science-reasoning
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- physics
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- biology
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- chemistry
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- earth-science
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- astronomy
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- machine-learning
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- artificial-intelligence
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- compsci
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- computer-science
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- information-theory
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- ML-Ops
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- math
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- cuda
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- deep-learning
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- transformers
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- agentic
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- LLM
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- neuromorphic
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- self-improvement
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- complex-systems
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- cognition
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- linguistics
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- philosophy
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- logic
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- epistemology
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- simulation
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- game-theory
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- knowledge-management
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- creativity
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- problem-solving
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- architect
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- engineer
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- developer
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- creative
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- analytical
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- expert
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- rationality
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- conversational
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- chat
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- instruct
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---
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## About
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<!-- ### quantize_version: 2 -->
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<!-- ### output_tensor_quantised: 1 -->
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<!-- ### convert_type: hf -->
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<!-- ### vocab_type: -->
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<!-- ### tags: -->
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<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
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<!-- ### quants_skip: -->
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<!-- ### skip_mmproj: -->
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static quants of https://huggingface.co/DavidAU/Qwen3-Shining-Lucy-CODER-2.4B-mix2
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<!-- provided-files -->
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF).***
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-i1-GGUF
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## Usage
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If you are unsure how to use GGUF files, refer to one of [TheBloke's
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
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more details, including on how to concatenate multi-part files.
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## Provided Quants
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.Q2_K.gguf) | Q2_K | 1.1 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.Q3_K_S.gguf) | Q3_K_S | 1.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.Q3_K_M.gguf) | Q3_K_M | 1.4 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.Q3_K_L.gguf) | Q3_K_L | 1.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.IQ4_XS.gguf) | IQ4_XS | 1.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.Q4_K_S.gguf) | Q4_K_S | 1.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.Q4_K_M.gguf) | Q4_K_M | 1.6 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.Q5_K_S.gguf) | Q5_K_S | 1.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.Q5_K_M.gguf) | Q5_K_M | 1.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.Q6_K.gguf) | Q6_K | 2.1 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.Q8_0.gguf) | Q8_0 | 2.7 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen3-Shining-Lucy-CODER-2.4B-mix2-GGUF/resolve/main/Qwen3-Shining-Lucy-CODER-2.4B-mix2.f16.gguf) | f16 | 5.0 | 16 bpw, overkill |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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types (lower is better):
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And here are Artefact2's thoughts on the matter:
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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## FAQ / Model Request
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See https://huggingface.co/mradermacher/model_requests for some answers to
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questions you might have and/or if you want some other model quantized.
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## Thanks
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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me use its servers and providing upgrades to my workstation to enable
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this work in my free time.
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<!-- end -->
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