aashish1904 commited on
Commit
8da45b6
1 Parent(s): a5febc3

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +110 -0
README.md ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+
4
+ license: creativeml-openrail-m
5
+ datasets:
6
+ - AI-MO/NuminaMath-CoT
7
+ language:
8
+ - en
9
+ base_model:
10
+ - Qwen/Qwen2.5-7B-Instruct
11
+ pipeline_tag: text-generation
12
+ library_name: transformers
13
+ tags:
14
+ - Qwen2.5
15
+ - Ollama
16
+ - Neumind
17
+ - Math
18
+ - Instruct
19
+ - safetensors
20
+ - pytorch
21
+ - trl
22
+
23
+ ---
24
+
25
+ [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
26
+
27
+
28
+ # QuantFactory/Neumind-Math-7B-Instruct-GGUF
29
+ This is quantized version of [prithivMLmods/Neumind-Math-7B-Instruct](https://huggingface.co/prithivMLmods/Neumind-Math-7B-Instruct) created using llama.cpp
30
+
31
+ # Original Model Card
32
+
33
+
34
+ ### Neumind-Math-7B-Instruct Model Files
35
+
36
+ The **Neumind-Math-7B-Instruct** is a fine-tuned model based on **Qwen2.5-7B-Instruct**, optimized for mathematical reasoning, step-by-step problem-solving, and instruction-based tasks in the mathematics domain. The model is designed for applications requiring structured reasoning, numerical computations, and mathematical proof generation.
37
+
38
+ | File Name | Size | Description | Upload Status |
39
+ |------------------------------------|------------|------------------------------------------|----------------|
40
+ | `.gitattributes` | 1.57 kB | Git attributes configuration file | Uploaded |
41
+ | `README.md` | 265 Bytes | ReadMe file with basic information | Updated |
42
+ | `added_tokens.json` | 657 Bytes | Additional token definitions | Uploaded |
43
+ | `config.json` | 860 Bytes | Model configuration settings | Uploaded |
44
+ | `generation_config.json` | 281 Bytes | Generation settings | Uploaded |
45
+ | `merges.txt` | 1.82 MB | Tokenizer merge rules | Uploaded |
46
+ | `pytorch_model-00001-of-00004.bin` | 4.88 GB | Model shard 1 of 4 | Uploaded (LFS) |
47
+ | `pytorch_model-00002-of-00004.bin` | 4.93 GB | Model shard 2 of 4 | Uploaded (LFS) |
48
+ | `pytorch_model-00003-of-00004.bin` | 4.33 GB | Model shard 3 of 4 | Uploaded (LFS) |
49
+ | `pytorch_model-00004-of-00004.bin` | 1.09 GB | Model shard 4 of 4 | Uploaded (LFS) |
50
+ | `pytorch_model.bin.index.json` | 28.1 kB | Model index JSON | Uploaded |
51
+ | `special_tokens_map.json` | 644 Bytes | Mapping of special tokens | Uploaded |
52
+ | `tokenizer.json` | 11.4 MB | Tokenizer configuration | Uploaded (LFS) |
53
+ | `tokenizer_config.json` | 7.73 kB | Additional tokenizer settings | Uploaded |
54
+ | `vocab.json` | 2.78 MB | Vocabulary for tokenization | Uploaded |
55
+
56
+ ---
57
+
58
+ ### **Key Features:**
59
+
60
+ 1. **Mathematical Reasoning:**
61
+ Specifically fine-tuned for solving mathematical problems, including arithmetic, algebra, calculus, and geometry.
62
+
63
+ 2. **Step-by-Step Problem Solving:**
64
+ Provides detailed, logical solutions for complex mathematical tasks and demonstrates problem-solving methodologies.
65
+
66
+ 3. **Instructional Applications:**
67
+ Tailored for use in educational settings, such as tutoring systems, math content creation, and interactive learning tools.
68
+
69
+ ---
70
+
71
+ ### **Training Details:**
72
+ - **Base Model:** [Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B)
73
+ - **Dataset:** Trained on **AI-MO/NuminaMath-CoT**, a large dataset of mathematical problems and chain-of-thought (CoT) reasoning. The dataset contains **860k problems** across various difficulty levels, enabling the model to tackle a wide spectrum of mathematical tasks.
74
+
75
+ ---
76
+
77
+ ### **Capabilities:**
78
+
79
+ - **Complex Problem Solving:**
80
+ Solves a wide range of mathematical problems, from basic arithmetic to advanced calculus and algebraic equations.
81
+
82
+ - **Chain-of-Thought Reasoning:**
83
+ Excels in step-by-step logical reasoning, making it suitable for tasks requiring detailed explanations.
84
+
85
+ - **Instruction-Based Generation:**
86
+ Ideal for generating educational content, such as worked examples, quizzes, and tutorials.
87
+
88
+ ---
89
+
90
+ ### **Usage Instructions:**
91
+
92
+ 1. **Model Setup:**
93
+ Download all model shards and the associated configuration files. Ensure the files are correctly placed for seamless loading.
94
+
95
+ 2. **Inference:**
96
+ Load the model using frameworks like PyTorch and Hugging Face Transformers. Ensure the `pytorch_model.bin.index.json` file is in the same directory for shard-based loading.
97
+
98
+ 3. **Customization:**
99
+ Adjust generation parameters using `generation_config.json` to optimize outputs for your specific application.
100
+ ---
101
+
102
+ ### **Applications:**
103
+
104
+ - **Education:**
105
+ Interactive math tutoring, content creation, and step-by-step problem-solving tools.
106
+ - **Research:**
107
+ Automated theorem proving and symbolic mathematics.
108
+ - **General Use:**
109
+ Solving everyday mathematical queries and generating numerical datasets.
110
+ ---