初始化项目，由ModelHub XC社区提供模型
Model: Abiray/Sutra-Instruct-350M-GGUF Source: Original Platform
This commit is contained in:
ModelHub XC
38
.gitattributes
vendored
Normal file
38
.gitattributes
vendored
Normal file
@@ -0,0 +1,38 @@
|
||||
*.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
|
||||
sutra-fp16.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
sutra-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
sutra-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
73
README.md
Normal file
73
README.md
Normal file
@@ -0,0 +1,73 @@
|
||||
---
|
||||
language:
|
||||
- en
|
||||
license: mit
|
||||
base_model: Abhiray/Sutra-Instruct-350M
|
||||
tags:
|
||||
- gguf
|
||||
- llama.cpp
|
||||
- quantized
|
||||
- gpt2
|
||||
- sutra
|
||||
pipeline_tag: text-generation
|
||||
library_name: gguf
|
||||
---
|
||||
|
||||
# Sutra-Instruct-350M-GGUF
|
||||
|
||||
This repository contains the official GGUF quantizations of [**Sutra-Instruct-350M**](https://huggingface.co/Abhiray/Sutra-Instruct-350M), a 350-million parameter model trained entirely from scratch by Abhiray.
|
||||
|
||||
The **Sutra** (सूत्र) series is designed to be a high-speed, rule-based instruction model. These GGUF versions are optimized for ultra-low latency inference on consumer-grade hardware, including CPUs and mobile devices.
|
||||
|
||||
---
|
||||
|
||||
## 📁 Available Quantizations
|
||||
|
||||
| File Name | Quant Method | Size | Description |
|
||||
| :--- | :--- | :--- | :--- |
|
||||
| **sutra-fp16.gguf** | None (F16) | ~779 MB | Original weights. RECOMMENDED MOST Best for maximum quality and accuracy. |
|
||||
| **sutra-Q8_0.gguf** | Q8_0 | ~417 MB | Standard 8-bit. Near-lossless; RECOMMENDED for most users. |
|
||||
| **sutra-Q4_K_M.gguf** | Q4_K_M | ~258 MB | 4-bit Medium. Its for just testing not recommended much. |
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Quick Start (Inference)
|
||||
|
||||
### 1. Using llama.cpp
|
||||
Run the model directly from your terminal using `llama-cli`:
|
||||
|
||||
```bash
|
||||
./llama-cli -m sutra-Q8_0.gguf -p "Instruction: What is the law of gravity?\n\nResponse:" -n 400 --temp 0.55 --repeat-penalty 1.2
|
||||
```
|
||||
|
||||
### 2. Using Ollama (Plug-and-Play)
|
||||
To use this with Ollama, create a file named Modelfile with the following content:
|
||||
|
||||
FROM ./sutra-Q8_0.gguf
|
||||
TEMPLATE """Instruction:
|
||||
{{ .Prompt }}
|
||||
|
||||
Response:
|
||||
"""
|
||||
PARAMETER stop "Instruction:"
|
||||
PARAMETER stop "\nInstruction:"
|
||||
PARAMETER temperature 0.55
|
||||
PARAMETER repeat_penalty 1.2
|
||||
PARAMETER top_k 50
|
||||
PARAMETER num_predict 512
|
||||
|
||||
Then, initialize and run the model:
|
||||
|
||||
ollama create sutra -f Modelfile
|
||||
ollama run sutra
|
||||
|
||||
⚙️ Optimized Settings
|
||||
To prevent the model from looping or hallucinating, we strongly recommend these inference parameters:
|
||||
|
||||
Temperature: 0.55
|
||||
|
||||
Repeat Penalty: 1.2
|
||||
|
||||
Top-K: 50
|
||||
|
||||
Max Tokens: 512
|
||||
3
sutra-Q4_K_M.gguf
Normal file
3
sutra-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2559e4d948f287597950fbe189cffaebad00946aab634e0afccd1595b6e47756
|
||||
size 271073888
|
||||
3
sutra-Q8_0.gguf
Normal file
3
sutra-Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:deb5c9f864345b4a33034163fb35a2c63024a2925cb03c77397ed356f615bc4c
|
||||
size 437591648
|
||||
3
sutra-fp16.gguf
Normal file
3
sutra-fp16.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:5db35d6645ad8df12325b4f6948eda7bb6449de4521c3c5aae04a301cf9c49ad
|
||||
size 817290848
|
||||
Reference in New Issue
Block a user