Trained with Unsloth

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.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-3B-Instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text

Modelfile

@@ -0,0 +1,57 @@
+
+FROM Qwen2.5-3B-Instruct.Q4_K_M.gguf
+TEMPLATE """{{- if .Messages }}
+{{- 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 }}<|im_end|>
+{{ else if eq .Role "assistant" }}<|im_start|>assistant
+{{ 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
+{{ end }}
+{{- end }}
+{{- else }}
+{{- if .System }}<|im_start|>system
+{{ .System }}<|im_end|>
+{{ end }}{{ if .Prompt }}<|im_start|>user
+{{ .Prompt }}<|im_end|>
+{{ end }}<|im_start|>assistant
+{{ end }}{{ .Response }}{{ if .Response }}<|im_end|>{{ end }}"""
+PARAMETER stop "<|im_end|>"
+PARAMETER stop "<|endoftext|>"
+PARAMETER temperature 1.5
+PARAMETER min_p 0.1
+SYSTEM """You are Qwen, created by Alibaba Cloud. You are a helpful assistant."""

Qwen2.5-3B-Instruct.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8fe18f153f2d801dced5947be9dde92a5754d2a7c7e79cf1001963f1dffa6840
+size 1929902624

README.md

@@ -1,21 +1,23 @@
 ---
-base_model: unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit
 tags:
-- text-generation-inference
-- transformers
+- gguf
+- llama.cpp
 - unsloth
-- qwen2
-license: apache-2.0
-language:
-- en
+
 ---
 
-# Uploaded finetuned  model
+# LaboAI-0.3.3-3B : GGUF
+
+This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
 
-- **Developed by:** LaboAI
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit
+**Example usage**:
+- For text only LLMs:    `llama-cli -hf LaboAI/LaboAI-0.3.3-3B --jinja`
+- For multimodal models: `llama-mtmd-cli -hf LaboAI/LaboAI-0.3.3-3B --jinja`
 
-This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## Available Model files:
+- `Qwen2.5-3B-Instruct.Q4_K_M.gguf`
 
+## Ollama
+An Ollama Modelfile is included for easy deployment.
+This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)