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Model: Surpem/Supertron2.1-0.6B-GGUF Source: Original Platform
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gguf/Supertron2.1-0.6B-F16.gguf filter=lfs diff=lfs merge=lfs -text
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gguf/Supertron2.1-0.6B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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gguf/Supertron2.1-0.6B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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FROM ./gguf/Supertron2.1-0.6B-F16.gguf
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PARAMETER temperature 0.7
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PARAMETER top_p 0.8
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PARAMETER top_k 20
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PARAMETER num_ctx 4096
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PARAMETER repeat_penalty 1.05
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SYSTEM """
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You are Supertron, a helpful assistant focused on coding, math, and general knowledge.
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"""
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FROM ./gguf/Supertron2.1-0.6B-Q4_K_M.gguf
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PARAMETER temperature 0.7
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PARAMETER top_p 0.8
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PARAMETER top_k 20
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PARAMETER num_ctx 4096
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PARAMETER repeat_penalty 1.05
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SYSTEM """
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You are Supertron, a helpful assistant focused on coding, math, and general knowledge.
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"""
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Modelfile.q8
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FROM ./gguf/Supertron2.1-0.6B-Q8_0.gguf
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PARAMETER temperature 0.7
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PARAMETER top_p 0.8
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PARAMETER top_k 20
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PARAMETER num_ctx 4096
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PARAMETER repeat_penalty 1.05
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SYSTEM """
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You are Supertron, a helpful assistant focused on coding, math, and general knowledge.
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"""
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README.md
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---
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-generation
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base_model:
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- Surpem/Supertron2.1-0.6B
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tags:
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- gguf
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- llama-cpp
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- qwen
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- qwen3
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- chat
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- quantized
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- q4
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- q8
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- f16
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- local-llm
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- surpem
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---
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# Supertron2.1-0.6B-GGUF
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**Supertron2.1-0.6B-GGUF** contains GGUF exports of **Surpem/Supertron2.1-0.6B**, a compact Qwen3-based generalist model by **Surpem**.
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This repository is for local inference with `llama.cpp`, LM Studio, Jan, KoboldCpp, text-generation-webui, and other GGUF-compatible runtimes. The original Transformers checkpoint is available at `Surpem/Supertron2.1-0.6B`.
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## Available Files
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| File | Type | Size | Recommended Use |
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| :-- | :-- | --: | :-- |
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| `gguf/Supertron2.1-0.6B-F16.gguf` | F16 | ~448 MiB | Highest quality GGUF, larger memory use |
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| `gguf/Supertron2.1-0.6B-Q8_0.gguf` | 8-bit | ~610 MiB | Strong quality, efficient local use |
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| `gguf/Supertron2.1-0.6B-Q4_K_M.gguf` | 4-bit K-quants | ~378 MiB | Small, fast, best for low-memory devices |
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## Which GGUF Should I Use?
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### Q4_K_M
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Use this when you want the smallest practical model.
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Good for:
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* laptops
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* CPU inference
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* fast testing
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* low VRAM
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* general chat
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Tradeoff: slightly lower quality than Q8/F16.
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### Q8_0
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Use this when you want better quality while keeping the file smaller than full precision.
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Good for:
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* local coding help
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* math prompts
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* better instruction following
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* GPU offload with modest VRAM
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Tradeoff: larger than Q4.
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### F16
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Use this when quality matters most and memory is available.
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Good for:
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* comparison testing
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* re-quantization
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* quality checks
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* development workflows
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Tradeoff: largest runtime memory use.
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## llama.cpp Usage
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Install or build `llama.cpp`, then run:
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```bash
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llama-cli \
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-m gguf/Supertron2.1-0.6B-Q4_K_M.gguf \
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-p "Write a Python function that returns the nth Fibonacci number." \
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-n 256
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```
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For chat-style prompting:
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```bash
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llama-cli \
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-m gguf/Supertron2.1-0.6B-Q8_0.gguf \
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-cnv \
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--color \
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-p "You are Supertron, a helpful coding and math assistant."
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```
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With GPU offload:
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```bash
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llama-cli \
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-m gguf/Supertron2.1-0.6B-Q4_K_M.gguf \
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-ngl 99 \
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-p "Explain binary search in simple terms." \
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-n 300
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```
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## llama-server
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```bash
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llama-server \
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-m gguf/Supertron2.1-0.6B-Q4_K_M.gguf \
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-c 4096 \
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-ngl 99 \
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--host 0.0.0.0 \
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--port 8080
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```
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Then call it with an OpenAI-compatible client.
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## Ollama Modelfile
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Create a file named `Modelfile`:
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```text
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FROM ./gguf/Supertron2.1-0.6B-Q4_K_M.gguf
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PARAMETER temperature 0.7
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PARAMETER top_p 0.8
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PARAMETER top_k 20
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PARAMETER num_ctx 4096
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SYSTEM """
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You are Supertron, a helpful assistant focused on math, coding, and general knowledge.
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"""
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```
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Create and run:
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```bash
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ollama create supertron2.1-0.6b -f Modelfile
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ollama run supertron2.1-0.6b
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```
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## Recommended Settings
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For coding and math:
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```text
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temperature: 0.2
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top_p: 0.8
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top_k: 20
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repeat_penalty: 1.05
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```
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For chat:
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```text
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temperature: 0.7
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top_p: 0.8
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top_k: 20
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repeat_penalty: 1.05
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```
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For deterministic answers:
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```text
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temperature: 0.0
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```
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## Model Line
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* Original model: `Surpem/Supertron2.1-0.6B`
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* GGUF model: `Surpem/Supertron2.1-0.6B-GGUF`
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* MLX 4-bit: `Surpem/Supertron2.1-0.6B-MLX-4Bit`
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* MLX 8-bit: `Surpem/Supertron2.1-0.6B-MLX-8Bit`
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## Notes
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The GGUF files were converted from the latest Supertron2.1-0.6B Transformers checkpoint using llama.cpp tooling. Quantized models are approximations of the original bf16 checkpoint, and behavior can vary by runtime, prompt format, and sampling settings.
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## Limitations
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* Q4 is smaller but less precise than Q8/F16.
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* The model can hallucinate or produce wrong code.
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* Human review is recommended for math, code, and factual claims.
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* Do not use this model for safety-critical decisions.
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## License
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Apache 2.0.
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gguf/Supertron2.1-0.6B-F16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:127dde7c1d9e568376ec938b0a50e4121ba1ca90529c90826dcc7e1bd1fd86e7
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size 469909474
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gguf/Supertron2.1-0.6B-Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d40d805de73107611f28e0f08240e8f0196081ece5ef5d880af6fd90c03d603
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size 396705024
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gguf/Supertron2.1-0.6B-Q8_0.gguf
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gguf/Supertron2.1-0.6B-Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa286d24b7cb260157146d00a58e50bb2f0797193eb33f2296b1cc3582c20415
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size 639447296
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