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Model: hexera-org/GmshNet-8B-v0.1 Source: Original Platform
2026-08-29 19:04:18 +08:00
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--- a/README.md
+++ b/README.md
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+---
+license: apache-2.0
+language:
+- en
+tags:
+- text-generation
+- code-generation
+- code-completion
+- text-to-code
+- natural-language-to-code
+- code-synthesis
+- program-synthesis
+- code-llm
+- coding-assistant
+- engineering-code-generation
+- large-language-model
+- llm
+- generative-ai
+- causal-lm
+- decoder-only
+- transformer
+- transformers
+- autoregressive
+- instruction-following
+- instruction-tuned
+- instruct
+- fine-tuned
+- fine-tuned-llm
+- domain-specific-llm
+- specialized-llm
+- engineering-llm
+- scientific-llm
+- reasoning
+- engineering-reasoning
+- mathematical-reasoning
+- numerical-reasoning
+- problem-solving
+- engineering-ai
+- ai-for-engineering
+- ai-for-science
+- scientific-ai
+- computational-science
+- scientific-computing
+- computational-engineering
+- engineering-simulation
+- simulation
+- simulation-automation
+- simulation-tools
+- computer-aided-engineering
+- cae
+- engineering-tools
+- engineering-automation
+- computational-physics
+- numerical-methods
+- numerical-analysis
+- numerical-simulation
+- physics-simulation
+- multiphysics
+- pde
+- partial-differential-equations
+- pde-solver
+- solver
+- numerical-solver
+- boundary-conditions
+- mesh-generation
+- mesh-generator
+- mesh-generation-ai
+- ai-meshing
+- meshing
+- computational-meshing
+- mesh-automation
+- automated-meshing
+- automatic-mesh-generation
+- mesh-processing
+- mesh-quality
+- mesh-quality-improvement
+- mesh-refinement
+- adaptive-mesh-refinement
+- amr
+- mesh-optimization
+- mesh-smoothing
+- mesh-repair
+- mesh-conversion
+- mesh-analysis
+- surface-mesh
+- surface-meshing
+- volume-mesh
+- volume-meshing
+- structured-mesh
+- structured-meshing
+- unstructured-mesh
+- unstructured-meshing
+- hybrid-mesh
+- hybrid-meshing
+- triangular-mesh
+- triangle-mesh
+- quadrilateral-mesh
+- quad-mesh
+- tetrahedral-mesh
+- tetrahedral-meshing
+- tet-mesh
+- hexahedral-mesh
+- hexahedral-meshing
+- hex-mesh
+- prism-mesh
+- prism-layer
+- boundary-layer
+- boundary-layer-mesh
+- boundary-layer-meshing
+- o-grid
+- geometry-processing
+- computational-geometry
+- geometry-generation
+- geometry-repair
+- geometry-optimization
+- cad
+- cad-modeling
+- cad-automation
+- cad-to-mesh
+- geometry
+- step
+- step-format
+- iges
+- stl
+- cgns
+- msh
+- msh-format
+- geo
+- geo-format
+- gmsh
+- gmsh-api
+- gmsh-python
+- gmsh-code
+- gmsh-script
+- gmsh-scripting
+- gmsh-meshing
+- openfoam
+- openfoam-meshing
+- snappyhexmesh
+- cfmesh
+- finite-element-analysis
+- fea
+- finite-element-method
+- fem
+- computational-fluid-dynamics
+- cfd
+- cfd-meshing
+- cfd-simulation
+- finite-volume-method
+- fvm
+- finite-difference-method
+- fdm
+- computational-mechanics
+- continuum-mechanics
+- solid-mechanics
+- structural-mechanics
+- structural-analysis
+- stress-analysis
+- fluid-mechanics
+- fluid-dynamics
+- aerodynamics
+- heat-transfer
+- thermal-analysis
+- mechanical-engineering
+- aerospace-engineering
+- automotive-engineering
+- civil-engineering
+- structural-engineering
+- simulation-engineering
+- cae-ai
+- cfd-ai
+- fea-ai
+- pytorch
+- huggingface
+- transformers-library
+- safetensors
+- gguf
+- ggml
+- llama-cpp
+- llama-cpp-python
+- quantized
+- quantization
+- low-bit-quantization
+- local-llm
+- local-ai
+- local-inference
+- offline-inference
+- edge-ai
+- edge-inference
+- cpu-inference
+- on-device
+- on-device-ai
+- 8b
+- 8b-parameters
+- open-model
+- open-source
+- english
+---
+# GmshNet-8B-v0.1
+
+GmshNet-8B-v0.1 is an open-source, dense, decoder-only 8B parameter large language model specializing in **Gmsh 4.x meshing scripts**, designed to produce structured analyses and generate robust geometry meshes through **chain-of-thought reasoning**.
+
+---
+
+
+## Quickstart
+
+### Install Dependencies
+```
+pip install -U torch transformers accelerate
+```
+
+### Run Inference
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Input your prompt here
+USER_INPUT = """
+Create a 2D finite element mesh for a rectangular steel plate measuring 100 mm by 60 mm with a circular hole of radius 10 mm at its center (a classic stress-concentration test case). Refine the mesh around the hole to capture the stress gradient and use a coarser mesh near the outer edges. Define physical groups for the outer boundary and the hole so the mesh can be used for a finite element stress analysis.
+"""
+
+def load_model(model_path):
+    model = AutoModelForCausalLM.from_pretrained(
+        model_path,
+        torch_dtype=torch.float16,
+        device_map="auto",
+        trust_remote_code=True
+    )
+    tokenizer = AutoTokenizer.from_pretrained(
+        model_path,
+        trust_remote_code=True
+    )
+    with open(f"{model_path}/chat_template.jinja", "r") as f:
+        tokenizer.chat_template = f.read()
+    return model, tokenizer
+
+def generate_response(model, tokenizer, user_input):
+    formatted_input = f"<gmsh_instruction>{user_input.strip()}</gmsh_instruction>"
+    messages = [{"role": "user", "content": formatted_input}]
+    prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=2000,
+        do_sample=True,
+        temperature=0.2,
+        top_k=20,
+        top_p=0.8,
+        repetition_penalty=1.1,
+        pad_token_id=tokenizer.eos_token_id
+    )
+    response = tokenizer.decode(outputs[0], skip_special_tokens=False)
+    return response.split("<|im_start|>assistant\n")[-1].replace("<|im_end|>", "").strip()
+
+def run_inference():
+    model_path = "" # Path to your model weights
+    model, tokenizer = load_model(model_path)
+    result = generate_response(model, tokenizer, USER_INPUT)
+    print(result)
+
+if __name__ == "__main__":
+    run_inference()
+```
+
+---
+
+## Example Output
+
+~~~
+<think>
+I need to analyze this meshing task step by step to create an effective GMSH script.
+
+1. Geometry Requirements:
+   - Main domain: 100mm × 60mm rectangular plate
+   - Internal feature: Circular hole of radius 10mm at center
+   - Need refinement around hole for stress gradient capture
+   - Coarser mesh near outer edges
+
+2. Meshing Approach:
+   - Unstructured triangular mesh for flexibility
+   - Size field to control refinement (finer near hole, coarser near edges)
+   - Physical groups for boundaries and hole surface
+   - Potential quadrilateral recombination in structured regions if needed
+
+3. Construction Steps:
+   a) Create rectangle points and lines
+   b) Create circle points and arcs
+   c) Define line loops for plate and hole
+   d) Create plane surface with hole
+   e) Set mesh size fields for refinement
+   f) Define physical groups
+   g) Generate 2D mesh
+</think>
+<response>
+1. High-level Overview:
+   - We'll create a rectangular plate with a circular hole at center
+   - Use size field to refine mesh near hole (radius 5mm from center)
+   - Coarser mesh grows outward from outer edges
+   - Physical groups for boundaries and hole surface
+
+2. Step-by-step Instructions:
+   a) Create rectangle points (4 corners)
+   b) Connect with lines to form boundary
+   c) Create circle points (center + 4 quadrants)
+   d) Connect circle points with arcs
+   e) Define line loops for plate and hole
+   f) Create surface with hole
+   g) Set mesh size field with Attractor near hole
+   h) Define physical groups
+   i) Generate mesh
+
+3. Complete GMSH Script:
+
+```
+// Rectangular Plate with Hole - Stress Concentration Test Case
+
+// Geometry Parameters
+plate_length = 100;
+plate_width = 60;
+hole_radius = 10;
+
+// Mesh Sizing Parameters
+base_size = 5;          // Base mesh size
+hole_refine = 1.0;      // Size at hole center
+hole_growth = 2.0;      // Growth rate from hole to outer edges
+
+// Create Rectangle Points
+Point(1) = {0, 0, 0, base_size};
+Point(2) = {plate_length, 0, 0, base_size};
+Point(3) = {plate_length, plate_width, 0, base_size};
+Point(4) = {0, plate_width, 0, base_size};
+
+// Create Rectangle Edges
+Line(1) = {1, 2};
+Line(2) = {2, 3};
+Line(3) = {3, 4};
+Line(4) = {4, 1};
+
+// Create Hole Points (center + 4 quadrants)
+Point(5) = {plate_length/2, plate_width/2, 0, hole_refine}; // Center
+Point(6) = {plate_length/2 + hole_radius, plate_width/2, 0, hole_refine};
+Point(7) = {plate_length/2, plate_width/2 + hole_radius, 0, hole_refine};
+Point(8) = {plate_length/2 - hole_radius, plate_width/2, 0, hole_refine};
+Point(9) = {plate_length/2, plate_width/2 - hole_radius, 0, hole_refine};
+
+// Create Hole Arcs
+Circle(5) = {6, 5, 7};
+Circle(6) = {7, 5, 8};
+Circle(7) = {8, 5, 9};
+Circle(8) = {9, 5, 6};
+
+// Define Line Loops
+Line Loop(1) = {1, 2, 3, 4};    // Outer boundary
+Line Loop(2) = {5, 6, 7, 8};     // Hole boundary
+
+// Create Surface with Hole
+Plane Surface(1) = {1, 2};
+
+// Mesh Size Field - Refinement near hole
+Field[1] = Distance;
+Field[1].NodesList = {5};        // Center point of hole
+Field[2] = Threshold;
+Field[2].IField = 1;
+Field[2].LcMin = hole_refine;
+Field[2].LcMax = base_size;
+Field[2].DistMin = hole_radius;
+Field[2].DistMax = plate_length/4;
+Background Field = 2;
+
+// Physical Groups
+Physical Curve("OuterBoundary", 1) = {1, 2, 3, 4};
+Physical Curve("HoleBoundary", 2) = {5, 6, 7, 8};
+Physical Surface("Plate", 1) = {1};
+
+// Mesh Settings
+Mesh.Algorithm = 6;              // Frontal-Delaunay
+Mesh.Smoothing = 5;              // More smoothing iterations
+
+// Generate 2D Mesh
+Mesh 2;
+```
+
+4. Implementation Notes:
+- To run: Open in GMSH → Mesh → 2D
+- Adjust parameters at top for different sizes/resolutions
+- Visualize geometry (Geometry tab) before meshing to verify
+- For quadrilateral mesh near hole, add:
+  ```
+  Mesh.RecombineAll = 1;
+  Mesh.Algorithm = 8; // Delaunay for quads
+  ```
+- Common errors to avoid:
+  - Ensure line loops are properly closed
+  - Verify point IDs in circle definitions
+  - Check that surface includes both line loops (plate and hole)
+</response>
+~~~
+
+---
+
+## Feedback
+
+Tried the model? We'd love to hear how it went! It takes about a minute:
+
+**[Share your feedback →](https://forms.gle/D3AYvTnhs67wV29t9)**
--- a/added_tokens.json
+++ b/added_tokens.json
@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
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+  "<|vision_end|>": 151653,
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+  "<|vision_start|>": 151652
+}
--- a/chat_template.jinja
+++ b/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are GmshNet-8B-v0.1. You are a helpful assistant who specializes in Gmsh 4.x.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are GmshNet-8B-v0.1. You are a helpful assistant who specializes in Gmsh 4.x.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,58 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "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": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.55.4",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}
--- a/generation_config.json
+++ b/generation_config.json
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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.55.4"
+}
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