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Model: g023/qwen3-tiny-v2-finetuned
Source: Original Platform

.gitattributes

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+*.gguf filter=lfs diff=lfs merge=lfs -text

Modelfile

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+FROM ./Qwen3-g023-tiny-v2-FT-Q8_0.gguf
+TEMPLATE """
+{{- $lastUserIdx := -1 -}}
+{{- range $idx, $msg := .Messages -}}
+{{- if eq $msg.Role "user" }}{{ $lastUserIdx = $idx }}{{ end -}}
+{{- end }}
+{{- if or .System .Tools }}<|im_start|>system
+{{ if .System }}
+{{ .System }}
+{{- end }}
+{{- if .Tools }}
+
+# Tools
+
+You may call one or more functions to assist with the user query.
+
+You are provided with function signatures within <tools></tools> XML tags:
+<tools>
+{{- range .Tools }}
+{"type": "function", "function": {{ .Function }}}
+{{- end }}
+</tools>
+
+For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
+<tool_call>
+{"name": <function-name>, "arguments": <args-json-object>}
+</tool_call>
+{{- end -}}
+<|im_end|>
+{{ end }}
+{{- range $i, $_ := .Messages }}
+{{- $last := eq (len (slice $.Messages $i)) 1 -}}
+{{- if eq .Role "user" }}<|im_start|>user
+{{ .Content }}
+{{- if and $.IsThinkSet (eq $i $lastUserIdx) }}
+   {{- if $.Think -}}
+      {{- " "}}/think
+   {{- else -}}
+      {{- " "}}/no_think
+   {{- end -}}
+{{- end }}<|im_end|>
+{{ else if eq .Role "assistant" }}<|im_start|>assistant
+{{ if (and $.IsThinkSet (and .Thinking (or $last (gt $i $lastUserIdx)))) -}}
+<think>{{ .Thinking }}</think>
+{{ end -}}
+{{ if .Content }}{{ .Content }}
+{{- else if .ToolCalls }}<tool_call>
+{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
+{{ end }}</tool_call>
+{{- end }}{{ if not $last }}<|im_end|>
+{{ end }}
+{{- else if eq .Role "tool" }}<|im_start|>user
+<tool_response>
+{{ .Content }}
+</tool_response><|im_end|>
+{{ end }}
+{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
+{{ if and $.IsThinkSet (not $.Think) -}}
+<think>
+
+</think>
+
+{{ end -}}
+{{ end }}
+{{- end }}
+"""
+PARAMETER num_ctx 40000
+PARAMETER repeat_last_n 16384
+PARAMETER stop <|im_start|>
+PARAMETER stop <|im_end|>
+PARAMETER temperature 0.65
+PARAMETER top_p 0.9
+PARAMETER top_k 20
+PARAMETER min_p 0.0
+PARAMETER repeat_penalty 1.05
+PARAMETER presence_penalty 0.1
+PARAMETER frequency_penalty 0.1
+SYSTEM "You are a helpful assistant."

Qwen3-g023-tiny-v2-FT-Q8_0.gguf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f0ed606874dbfaf528ea1bef31edc70d63f4ba91707162871edb3690ea2ed0b9
+size 1941413632

README.md

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+---
+license: apache-2.0
+language:
+  - en
+base_model: g023/qwen3-tiny-v2
+tags:
+  - qwen3
+  - gguf
+  - q8_0
+  - finetuned
+  - grpo
+  - lora-merged
+  - text-generation
+pipeline_tag: text-generation
+library_name: llama.cpp
+quantized_by: g023
+---
+
+# Qwen3-g023-tiny-v2-FT-Q8_0 - GRPO Finetuned Q8_0 GGUF Export
+
+https://huggingface.co/g023/qwen3-tiny-v2-finetuned/
+
+Q8_0 GGUF export of a GRPO finetuned Qwen3 model to achieve improved reasoning and reduced repetition. 
+Original SRC Model: https://huggingface.co/g023/qwen3-tiny-v2
+
+*THIS IS A WIP (WORK IN PROGRESS)* 
+
+## Files
+
+- `Qwen3-g023-tiny-v2-FT-Q8_0.gguf`: Q8_0 GGUF model (~1.81 GB)
+- `Modelfile`: Ollama template + tested default sampling settings
+- `params_best.json`: Best sampled parameters from automated sweep
+- `sweep_results.json`: Full sweep results and per-test outcomes
+
+## Tested Best Parameters (Default in Modelfile)
+
+- `temperature`: 0.65
+- `top_p`: 0.9
+- `top_k`: 20
+- `min_p`: 0.0
+- `repeat_penalty`: 1.05
+- `presence_penalty`: 0.1
+- `frequency_penalty`: 0.1
+- `num_ctx`: 40000
+
+## Usage (Ollama)
+
+```bash
+ollama create qwen3-g023-tiny-v2-FT-Q8_0 -f Modelfile
+ollama run qwen3-g023-tiny-v2-FT-Q8_0
+
+# thinking on
+ollama run qwen3-g023-tiny-v2-FT-Q8_0 --think "Explain why the sky is blue"
+
+# thinking off
+ollama run qwen3-g023-tiny-v2-FT-Q8_0 --think=false "Explain why the sky is blue"
+```
+
+### or pull from huggingface directly to ollama:
+
+```bash
+ollama run hf.co/g023/qwen3-tiny-v2-finetuned:Q8_0
+``` 
+
+## Notes
+
+- Template is the Qwen3-compatible template with think/no_think handling.
+- If you want stricter non-thinking behavior, compare alternatives in `sweep_results.json`.

params_best.json

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+{
+  "label": "balanced_01",
+  "temperature": 0.65,
+  "top_p": 0.9,
+  "top_k": 20,
+  "min_p": 0.0,
+  "repeat_penalty": 1.05,
+  "presence_penalty": 0.1,
+  "frequency_penalty": 0.1
+}