From d80900f3a33c8ad762f90f6b56f7ee10be39d93d Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Tue, 19 May 2026 13:57:17 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: prithivMLmods/Gliese-Query_Tool-0.6B Source: Original Platform --- .gitattributes | 52 +++++++++ README.md | 146 ++++++++++++++++++++++++ added_tokens.json | 28 +++++ chat_template.jinja | 99 +++++++++++++++++ config.json | 60 ++++++++++ configuration.json | 1 + merges.txt | 3 + model.safetensors | 3 + special_tokens_map.json | 31 ++++++ tokenizer.json | 3 + tokenizer_config.json | 240 ++++++++++++++++++++++++++++++++++++++++ vocab.json | 3 + 12 files changed, 669 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 added_tokens.json create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 configuration.json create mode 100644 merges.txt create mode 100644 model.safetensors create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json create mode 100644 vocab.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..401dc39 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,52 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx 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+*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm 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 +vocab.json filter=lfs diff=lfs merge=lfs -text +model.safetensors filter=lfs diff=lfs merge=lfs -text +merges.txt filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..69b7165 --- /dev/null +++ b/README.md @@ -0,0 +1,146 @@ +--- +license: apache-2.0 +datasets: +- Salesforce/xlam-function-calling-60k +language: +- en +base_model: +- Qwen/Qwen3-0.6B +pipeline_tag: text-generation +library_name: transformers +tags: +- trl +- text-generation-inference +- agent +- tool_calling +- fun() +--- + +![1](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/INHbIlmGb9oSeBfo6xt-Z.png) + +# **Gliese-Query_Tool-0.6B** + +> **Gliese-Query_Tool-0.6B** is a **function-calling and query-oriented reasoning model** fine-tuned from **Qwen3-0.6B** using **Salesforce/xlam-function-calling-60k**, designed for **tool orchestration**, **structured query resolution**, and **operation chaining** across diverse tasks. +> It excels in **dynamic function execution**, **structured reasoning pipelines**, and **multi-tool decision workflows**, making it a powerful lightweight solution for **developers**, **tooling platforms**, and **automation systems**. + +> [!note] +> GGUF: [https://huggingface.co/prithivMLmods/Gliese-Query_Tool-0.6B-GGUF](https://huggingface.co/prithivMLmods/Gliese-Query_Tool-0.6B-GGUF) + +--- + +## **Key Features** + +1. **Function-Calling Focused Reasoning** + Fine-tuned with **Salesforce/xlam-function-calling-60k**, enabling precise function selection, argument formatting, and multi-step tool invocation in complex workflows. + +2. **Query-Oriented Workflow Design** + Built to parse, interpret, and resolve complex queries by selecting and chaining the most relevant functions or tools for the task. + +3. **Tool-Orchestration & Automation** + Handles structured tool calls, dynamic function dispatch, and hybrid reasoning to power intelligent automation, API orchestration, and backend agent pipelines. + +4. **Structured Multi-Format Output** + Outputs formatted responses in **JSON**, **YAML**, **Markdown**, and **structured argument objects** — ideal for direct integration into software pipelines and agentic systems. + +5. **Lightweight, Deployment-Ready Core** + Compact **0.6B parameter** size optimized for **edge deployments**, **on-device inference**, and **fast cold-starts** while maintaining strong reasoning and function-call accuracy. + +--- + +## **sample inference.** + +``` +Solve 2**2 +``` + +```py +[{"name": "power", "description": "Calculates the power of a number with a specified exponent.", +"parameters": {"number": {"description": "The base for which the power is calculated.", "type": "int"}, +"exponent": {"description": "The exponent to which the number should be raised.", "type": "int"}}}] +``` + +``` +solve for 'x' in the equation 2x + 5 = 11? +``` + +```py +[{"name": "solving_equation", "description": "Solves a linear equation for a variable.", + "parameters": {"equation": {"description": "The equation to solve. The format is 'a*x + b = c'. +For example, '5x + 2 = 10' or '3x - 7 = 1'.", "type": "str"}, "operation": {"description": "The operation (add, sub, etc.) to perform the solving.", +"type": "str, optional"}, "variable": {"description": "The variable to solve for. Defaults to 'x' if not provided.", "default": "x"}}}] +``` + +``` +What is the volume of a sphere with a radius of 6 cm? +``` + +```py +[{"name": "volume_of_sphere", "description": "Calculates the volume of a sphere given its radius using the formula (4/3)πr³.", +"parameters": {"radius": {"description": "The radius of the sphere.", "type": "int"}}}] +``` + +``` +In an examination 80% of the candidates passed in Urdu and 85% in Hindi, while 75% passed in both . If 45 candidates failed in both. Then the total number of candidates was ? +``` + +```py +[{"name": "passing_percentage", "description": "Calculates the passing percentage for an exam given the percentage of students who passed each subject, and the intersection percentage of passing subjects.", +"parameters": {"subject1_percent": {"description": "Percentage of students who passed the first subject (e.g., 85% if Hindi).", "type": "int"}, +"subject2_percent": {"description": "Percentage of students who passed the second subject (e.g., 80% if Urdu).", "type": "int"}, "passed_both_percent": {"description": "Percentage of students who passed both subjects.", "type": "int"}}}] +``` + +## **Quickstart with Transformers** + +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_name = "prithivMLmods/Gliese-Query_Tool-0.6B" + +model = AutoModelForCausalLM.from_pretrained( + model_name, + torch_dtype="auto", + device_map="auto" +) +tokenizer = AutoTokenizer.from_pretrained(model_name) + +prompt = "Call the right function to fetch weather data for Paris and format the output as JSON." + +messages = [ + {"role": "system", "content": "You are a query tool model skilled in function-calling, API orchestration, and structured query resolution."}, + {"role": "user", "content": prompt} +] + +text = tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True +) + +model_inputs = tokenizer([text], return_tensors="pt").to(model.device) + +generated_ids = model.generate( + **model_inputs, + max_new_tokens=512 +) +generated_ids = [ + output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) +] + +response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] +print(response) +``` + +## **Intended Use** + +* Intelligent function-calling and multi-step query solving +* API orchestration, agent tool selection, and dynamic workflows +* Structured data generation and backend reasoning integration +* Lightweight agentic systems and on-device automation +* Developer-focused query resolution and toolchain automation + +## **Limitations** + +* Focused on **function-calling and structured tasks** — not suited for open-ended dialogue or creative writing +* Small model size means very complex reasoning chains may require external planning agents +* Optimized for structured tool workflows — conversational tone and narrative depth are secondary +* Long-context multi-tool planning beyond several steps may reduce reliability \ No newline at end of file diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..b54f913 --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,28 @@ +{ + "": 151668, + "": 151658, + "": 151666, + "": 151667, + "": 151657, + "": 151665, + "<|box_end|>": 151649, + "<|box_start|>": 151648, + "<|endoftext|>": 151643, + "<|file_sep|>": 151664, + "<|fim_middle|>": 151660, + "<|fim_pad|>": 151662, + "<|fim_prefix|>": 151659, + "<|fim_suffix|>": 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, \"arguments\": }\n<|im_end|>\n" }} +{%- else %} + {%- if messages[0].role == 'system' %} + {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }} + {%- endif %} +{%- endif %} +{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} +{%- for forward_message in messages %} + {%- set index = (messages|length - 1) - loop.index0 %} + {%- set message = messages[index] %} + {%- set current_content = message.content if message.content is defined and message.content is not none else '' %} + {%- set tool_start = '' %} + {%- set tool_start_length = tool_start|length %} + {%- set start_of_message = current_content[:tool_start_length] %} + {%- set tool_end = '' %} + {%- set tool_end_length = tool_end|length %} + {%- set start_pos = (current_content|length) - tool_end_length %} + {%- if start_pos < 0 %} + {%- set start_pos = 0 %} + {%- endif %} + {%- set end_of_message = current_content[start_pos:] %} + {%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %} + {%- set ns.multi_step_tool = false %} + {%- set ns.last_query_index = index %} + {%- endif %} +{%- endfor %} +{%- for message in messages %} + {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} + {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} + {%- elif message.role == "assistant" %} + {%- set m_content = message.content if message.content is defined and message.content is not none else '' %} + {%- set content = m_content %} + {%- set reasoning_content = '' %} + {%- if message.reasoning_content is defined and message.reasoning_content is not none %} + {%- set reasoning_content = message.reasoning_content %} + {%- else %} + {%- if '' in m_content %} + {%- set content = (m_content.split('')|last).lstrip('\n') %} + {%- set reasoning_content = (m_content.split('')|first).rstrip('\n') %} + {%- set reasoning_content = (reasoning_content.split('')|last).lstrip('\n') %} + {%- endif %} + {%- endif %} + {%- if loop.index0 > ns.last_query_index %} + {%- if loop.last or (not loop.last and (not reasoning_content.strip() == '')) %} + {{- '<|im_start|>' + message.role + '\n\n' + reasoning_content.strip('\n') + '\n\n\n' + content.lstrip('\n') }} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- else %} + {{- '<|im_start|>' + message.role + '\n' + content }} + {%- endif %} + {%- if message.tool_calls %} + {%- for tool_call in message.tool_calls %} + {%- if (loop.first and content) or (not loop.first) %} + {{- '\n' }} + {%- endif %} + {%- if tool_call.function %} + {%- set tool_call = tool_call.function %} + {%- endif %} + {{- '\n{"name": "' }} + {{- tool_call.name }} + {{- '", "arguments": ' }} + {%- if tool_call.arguments is string %} + {{- tool_call.arguments }} + {%- else %} + {{- tool_call.arguments | tojson }} + {%- endif %} + {{- '}\n' }} + {%- endfor %} + {%- endif %} + {{- '<|im_end|>\n' }} + {%- elif message.role == "tool" %} + {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %} + {{- '<|im_start|>user' }} + {%- endif %} + {{- '\n\n' }} + {{- message.content }} + {{- '\n' }} + {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} + {{- '<|im_end|>\n' }} + {%- endif %} + {%- endif %} +{%- endfor %} +{%- if add_generation_prompt %} + {{- '<|im_start|>assistant\n' }} + {%- if enable_thinking is defined and enable_thinking is false %} + {{- '\n\n\n\n' }} + {%- endif %} +{%- endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..55f606e --- /dev/null +++ b/config.json @@ -0,0 +1,60 @@ +{ + "architectures": [ + "Qwen3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 3072, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 40960, + "max_window_layers": 28, + "model_type": "qwen3", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "pad_token_id": 151654, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 1000000, + "sliding_window": null, + "tie_word_embeddings": true, + "torch_dtype": "float16", + "transformers_version": "4.55.4", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 151936 +} diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file diff --git a/merges.txt b/merges.txt new file mode 100644 index 0000000..80c1a19 --- /dev/null +++ b/merges.txt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5 +size 1671853 diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..79acf3d --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:76fc0a84c952ecf512840576d2e351c1e532096c80652c9e698d37849eb3f564 +size 1192135096 diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..9b8043f --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,31 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