初始化项目，由ModelHub XC社区提供模型

Model: Surpem/Supertron2.1-0.6B-GGUF
Source: Original Platform

README.md

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