初始化项目，由ModelHub XC社区提供模型
Model: Mungert/MedScholar-1.5B-GGUF Source: Original Platform
This commit is contained in:
ModelHub XC
70
.gitattributes
vendored
Normal file
70
.gitattributes
vendored
Normal file
@@ -0,0 +1,70 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt 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
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-f16.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-f16_q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-bf16_q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-f16_q6_k.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-bf16_q6_k.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-f16_q4_k.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-bf16_q4_k.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q3_k_l.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q4_k_l.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q5_k_l.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q6_k_l.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q3_k_m.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q3_k_s.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q4_k_s.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q5_k_m.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q5_k_s.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q6_k_m.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q4_0.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q4_1.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q4_0_l.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q4_1_l.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q5_0.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q5_1.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q5_0_l.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-q5_1_l.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-iq3_xs.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-iq3_xxs.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-iq3_s.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-iq3_m.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-iq4_xs.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-iq4_nl.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-imatrix.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
MedScholar-1.5B-bf16.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
3
MedScholar-1.5B-bf16.gguf
Normal file
3
MedScholar-1.5B-bf16.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6bca2f05107d39b1f2c21220e6cb16de5c06462a13c879b4a54888ff21592288
|
||||
size 3093667072
|
||||
3
MedScholar-1.5B-bf16_q8_0.gguf
Normal file
3
MedScholar-1.5B-bf16_q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:db03f2961de0f876ca742bd5ea692964e027e8b14db95852eb30d1ed185ae24f
|
||||
size 2298879232
|
||||
3
MedScholar-1.5B-f16_q8_0.gguf
Normal file
3
MedScholar-1.5B-f16_q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:951f484e68b89a98797808395362cbb945e41219d3d3b6c8f9c134af64abda77
|
||||
size 2298879232
|
||||
3
MedScholar-1.5B-imatrix.gguf
Normal file
3
MedScholar-1.5B-imatrix.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:be7fe7007402c8fcfa2661e851bc81d8448f5f956321e999777ff0b6bdbce56b
|
||||
size 2065952
|
||||
3
MedScholar-1.5B-iq3_m.gguf
Normal file
3
MedScholar-1.5B-iq3_m.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f71e0964a019050050c63ba07600b5b263ef830446a1dd822c513d17dc381545
|
||||
size 781901376
|
||||
3
MedScholar-1.5B-iq3_s.gguf
Normal file
3
MedScholar-1.5B-iq3_s.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ca56ba355bef6f78924c81adf1966b83df9b206da08af3fa140dfc683afca22d
|
||||
size 774565440
|
||||
3
MedScholar-1.5B-iq3_xs.gguf
Normal file
3
MedScholar-1.5B-iq3_xs.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2b30f0e2441d2c6fbfbfccd21711f0a7b3c6ccb124d8865392feb8f8fa111721
|
||||
size 709088832
|
||||
3
MedScholar-1.5B-iq3_xxs.gguf
Normal file
3
MedScholar-1.5B-iq3_xxs.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:89b20236c05a46e8040b9d2783c879838003360a013c87c7d00216f43857808d
|
||||
size 695240256
|
||||
3
MedScholar-1.5B-iq4_nl.gguf
Normal file
3
MedScholar-1.5B-iq4_nl.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:18ef55d1507f6a3cabb858210e6fd2273e03466ba01d6ae16813613c09a0d750
|
||||
size 936329280
|
||||
3
MedScholar-1.5B-iq4_xs.gguf
Normal file
3
MedScholar-1.5B-iq4_xs.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a432545f5e3c196ed63da466e024e26fe94bf21695571d7de140dab6b854e7e0
|
||||
size 895729728
|
||||
3
MedScholar-1.5B-q3_k_m.gguf
Normal file
3
MedScholar-1.5B-q3_k_m.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:aeb93a06dfa351e9e927c416431033f6ec7af211c6726d9ec1e26cc8ad4e081a
|
||||
size 824176704
|
||||
3
MedScholar-1.5B-q3_k_s.gguf
Normal file
3
MedScholar-1.5B-q3_k_s.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a83c9993f2e9ace1fa1b1520854e8f0289b10f68c55be2dfd29445a25ce5c5d1
|
||||
size 789741120
|
||||
3
MedScholar-1.5B-q4_0.gguf
Normal file
3
MedScholar-1.5B-q4_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7a844fd2eeebb1f75841255a6ca4100510a9d1a341d93aa8023f9ff5a8e26af4
|
||||
size 874786368
|
||||
3
MedScholar-1.5B-q4_1.gguf
Normal file
3
MedScholar-1.5B-q4_1.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:88f5c05c60ab5e510d32067219bbaee27e2383225056c3b37cafc3457a0019bb
|
||||
size 971259456
|
||||
3
MedScholar-1.5B-q4_k_m.gguf
Normal file
3
MedScholar-1.5B-q4_k_m.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:89d08a53d21497c34aed908751325bccad020b9403871cc924769c13cd42d874
|
||||
size 987816000
|
||||
3
MedScholar-1.5B-q4_k_s.gguf
Normal file
3
MedScholar-1.5B-q4_k_s.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:147f3de48c3f98daced623e41ef74ad5c92d8658bb666daf9740cea13f4a1bf1
|
||||
size 947388480
|
||||
3
MedScholar-1.5B-q5_0.gguf
Normal file
3
MedScholar-1.5B-q5_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:68cf3b03e54b0e6447399c11a090289a6dd1dbb42bcbbe56cd84b34267b13a2d
|
||||
size 1067732544
|
||||
3
MedScholar-1.5B-q5_1.gguf
Normal file
3
MedScholar-1.5B-q5_1.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:70684e9920fb25f1ec630180fd8cab4c49858408c4e811df9d11850a0bbad34d
|
||||
size 1164205632
|
||||
3
MedScholar-1.5B-q5_k_m.gguf
Normal file
3
MedScholar-1.5B-q5_k_m.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f53ee1d97db0c5b7e6dc4fd0b3c12f8375ccc06107df9182f938c766f6444faf
|
||||
size 1126928448
|
||||
3
MedScholar-1.5B-q5_k_s.gguf
Normal file
3
MedScholar-1.5B-q5_k_s.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e54a2062799b65f1278a70f5461f7124f21d6660f426753957ba0a32f230a081
|
||||
size 1111887936
|
||||
3
MedScholar-1.5B-q6_k_m.gguf
Normal file
3
MedScholar-1.5B-q6_k_m.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f3f1d9709dd1f0e7dccd3bd9f1a3961cf1e66dead3d377583bae2e463bc4b480
|
||||
size 1272737856
|
||||
3
MedScholar-1.5B-q8_0.gguf
Normal file
3
MedScholar-1.5B-q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:de059edfef117fc914be7a4d791f49e6d33f1219ff2dfbb1820c8c8a68a23197
|
||||
size 1646570752
|
||||
199
README.md
Normal file
199
README.md
Normal file
@@ -0,0 +1,199 @@
|
||||
---
|
||||
base_model: unsloth/qwen2.5-1.5b-unsloth-bnb-4bit
|
||||
tags:
|
||||
- text-generation-inference
|
||||
- transformers
|
||||
- unsloth
|
||||
- qwen2
|
||||
license: apache-2.0
|
||||
language:
|
||||
- en
|
||||
datasets:
|
||||
- miriad/miriad-4.4M
|
||||
---
|
||||
|
||||
# <span style="color: #7FFF7F;">MedScholar-1.5B GGUF Models</span>
|
||||
|
||||
|
||||
## <span style="color: #7F7FFF;">Model Generation Details</span>
|
||||
|
||||
This model was generated using [llama.cpp](https://github.com/ggerganov/llama.cpp) at commit [`66625a59`](https://github.com/ggerganov/llama.cpp/commit/66625a59a54d0a7504eda4c4e83abfcd83ba1cf8).
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
---
|
||||
|
||||
<a href="https://readyforquantum.com/huggingface_gguf_selection_guide.html" style="color: #7FFF7F;">
|
||||
Click here to get info on choosing the right GGUF model format
|
||||
</a>
|
||||
|
||||
---
|
||||
|
||||
|
||||
|
||||
<!--Begin Original Model Card-->
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# 🧠 MedScholar-1.5B
|
||||
|
||||
|
||||
|
||||
<img src="https://huggingface.co/yasserrmd/MedScholar-1.5B/resolve/main/banner.png" width="800"/>
|
||||
|
||||
**MedScholar-1.5B** is a compact, instruction-aligned medical question-answering model fine-tuned on 1 million randomly selected examples from the [MIRIAD-4.4M dataset](https://huggingface.co/datasets/miriad/miriad-4.4M). It is based on the [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) model and designed for efficient, in-context clinical knowledge exploration — **not diagnosis**.
|
||||
|
||||
---
|
||||
|
||||
## 📌 Model Details
|
||||
|
||||
- **Base Model**: [Qwen2.5-1.5B-Instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/Qwen2.5-1.5B-Instruct-unsloth-bnb-4bit)
|
||||
- **Fine-tuning Dataset**: [MIRIAD-4.4M](https://huggingface.co/datasets/miriad/miriad-4.4M)
|
||||
- **Samples Used**: 1,000,000 examples randomly selected from the full set
|
||||
- **Prompt Style**: Minimal QA format (see below)
|
||||
- **Training Framework**: [Unsloth](https://github.com/unslothai/unsloth) with QLoRA
|
||||
- **License**: Apache-2.0 (inherits from base model); dataset is ODC-By 1.0
|
||||
|
||||
---
|
||||
|
||||
## 📋 Prompt Format
|
||||
|
||||
```text
|
||||
### Question:
|
||||
What is the role of LDL in cardiovascular health?
|
||||
|
||||
### Answer:
|
||||
LDL plays a central role in the development of atherosclerosis by delivering cholesterol to peripheral tissues...
|
||||
````
|
||||
|
||||
* The model expects the prompt to **end with `### Answer:`**, and will generate only the answer text.
|
||||
* Do **not include the answer in the prompt** during inference.
|
||||
|
||||
---
|
||||
|
||||
## 🔒 Dataset Consent & License
|
||||
|
||||
This model was fine-tuned using **randomly selected 1 million examples** from the [MIRIAD-4.4M dataset](https://huggingface.co/datasets/miriad/miriad-4.4M), which is released under the [ODC-By 1.0 License](https://opendatacommons.org/licenses/by/1-0/).
|
||||
|
||||
> **The MIRIAD dataset is intended exclusively for academic research and educational exploration.**
|
||||
> As stated by its authors:
|
||||
>
|
||||
> *“The outputs generated by models trained or fine-tuned on this dataset must not be used for medical diagnosis or decision-making involving real individuals.”*
|
||||
|
||||
---
|
||||
|
||||
## ⚠️ Intended Use
|
||||
|
||||
**This model is for research, educational, and exploration purposes only. It is not a medical device and must not be used to provide clinical advice, diagnosis, or treatment.**
|
||||
|
||||
---
|
||||
|
||||
## 💡 Example Inference (Python)
|
||||
|
||||
```python
|
||||
from transformers import pipeline
|
||||
|
||||
pipe = pipeline("text-generation", model="yasserrmd/MedScholar-1.5B", device=0)
|
||||
|
||||
prompt = """### Question:
|
||||
What are the symptoms of acute pancreatitis?
|
||||
|
||||
### Answer:
|
||||
"""
|
||||
|
||||
response = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7)
|
||||
print(response[0]["generated_text"])
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🤝 Acknowledgements
|
||||
|
||||
* MIRIAD Dataset by Zheng et al. (2025) – [https://huggingface.co/datasets/miriad/miriad-4.4M](https://huggingface.co/datasets/miriad/miriad-4.4M)
|
||||
* Qwen2.5 by Alibaba – [https://huggingface.co/Qwen](https://huggingface.co/Qwen)
|
||||
* Training infrastructure: [Unsloth](https://github.com/unslothai/unsloth)
|
||||
|
||||
---
|
||||
|
||||
## 📄 Citation
|
||||
|
||||
```bibtex
|
||||
@misc{yasser2025medscholar,
|
||||
title = {MedScholar-1.5B: Compact medical QA model fine-tuned on MIRIAD},
|
||||
author = {Mohamed Yasser},
|
||||
year = {2025},
|
||||
howpublished = {\url{https://huggingface.co/yasserrmd/MedScholar-1.5B}},
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
|
||||
|
||||
|
||||
<!--End Original Model Card-->
|
||||
|
||||
---
|
||||
|
||||
# <span id="testllm" style="color: #7F7FFF;">🚀 If you find these models useful</span>
|
||||
|
||||
Help me test my **AI-Powered Quantum Network Monitor Assistant** with **quantum-ready security checks**:
|
||||
|
||||
👉 [Quantum Network Monitor](https://readyforquantum.com/?assistant=open&utm_source=huggingface&utm_medium=referral&utm_campaign=huggingface_repo_readme)
|
||||
|
||||
|
||||
The full Open Source Code for the Quantum Network Monitor Service available at my github repos ( repos with NetworkMonitor in the name) : [Source Code Quantum Network Monitor](https://github.com/Mungert69). You will also find the code I use to quantize the models if you want to do it yourself [GGUFModelBuilder](https://github.com/Mungert69/GGUFModelBuilder)
|
||||
|
||||
💬 **How to test**:
|
||||
Choose an **AI assistant type**:
|
||||
- `TurboLLM` (GPT-4.1-mini)
|
||||
- `HugLLM` (Hugginface Open-source models)
|
||||
- `TestLLM` (Experimental CPU-only)
|
||||
|
||||
### **What I’m Testing**
|
||||
I’m pushing the limits of **small open-source models for AI network monitoring**, specifically:
|
||||
- **Function calling** against live network services
|
||||
- **How small can a model go** while still handling:
|
||||
- Automated **Nmap security scans**
|
||||
- **Quantum-readiness checks**
|
||||
- **Network Monitoring tasks**
|
||||
|
||||
🟡 **TestLLM** – Current experimental model (llama.cpp on 2 CPU threads on huggingface docker space):
|
||||
- ✅ **Zero-configuration setup**
|
||||
- ⏳ 30s load time (slow inference but **no API costs**) . No token limited as the cost is low.
|
||||
- 🔧 **Help wanted!** If you’re into **edge-device AI**, let’s collaborate!
|
||||
|
||||
### **Other Assistants**
|
||||
🟢 **TurboLLM** – Uses **gpt-4.1-mini** :
|
||||
- **It performs very well but unfortunatly OpenAI charges per token. For this reason tokens usage is limited.
|
||||
- **Create custom cmd processors to run .net code on Quantum Network Monitor Agents**
|
||||
- **Real-time network diagnostics and monitoring**
|
||||
- **Security Audits**
|
||||
- **Penetration testing** (Nmap/Metasploit)
|
||||
|
||||
🔵 **HugLLM** – Latest Open-source models:
|
||||
- 🌐 Runs on Hugging Face Inference API. Performs pretty well using the lastest models hosted on Novita.
|
||||
|
||||
### 💡 **Example commands you could test**:
|
||||
1. `"Give me info on my websites SSL certificate"`
|
||||
2. `"Check if my server is using quantum safe encyption for communication"`
|
||||
3. `"Run a comprehensive security audit on my server"`
|
||||
4. '"Create a cmd processor to .. (what ever you want)" Note you need to install a [Quantum Network Monitor Agent](https://readyforquantum.com/Download/?utm_source=huggingface&utm_medium=referral&utm_campaign=huggingface_repo_readme) to run the .net code on. This is a very flexible and powerful feature. Use with caution!
|
||||
|
||||
### Final Word
|
||||
|
||||
I fund the servers used to create these model files, run the Quantum Network Monitor service, and pay for inference from Novita and OpenAI—all out of my own pocket. All the code behind the model creation and the Quantum Network Monitor project is [open source](https://github.com/Mungert69). Feel free to use whatever you find helpful.
|
||||
|
||||
If you appreciate the work, please consider [buying me a coffee](https://www.buymeacoffee.com/mahadeva) ☕. Your support helps cover service costs and allows me to raise token limits for everyone.
|
||||
|
||||
I'm also open to job opportunities or sponsorship.
|
||||
|
||||
Thank you! 😊
|
||||
Reference in New Issue
Block a user