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---
base_model: smallcloudai/Refact-1_6B-fim
datasets:
- bigcode/the-stack-dedup
- rombodawg/2XUNCENSORED_MegaCodeTraining188k
- bigcode/commitpackft
language:
- en
library_name: transformers
license: bigscience-openrail-m
metrics:
- code_eval
pipeline_tag: text-generation
tags:
- code
- llama-cpp
- matrixportal
inference: true
widget:
- text: 'def print_hello_world():'
example_title: Hello world
group: Python
pretrain-datasets:
- books
- arxiv
- c4
- falcon-refinedweb
- wiki
- github-issues
- stack_markdown
- self-made dataset of permissive github code
model-index:
- name: Refact-1.6B
results:
- task:
type: text-generation
dataset:
name: HumanEval
type: openai_humaneval
metrics:
- type: pass@1
value: 32.0
name: pass@1 (T=0.01)
verified: false
- type: pass@1
value: 31.5
name: pass@1 (T=0.2)
verified: false
- type: pass@10
value: 53.0
name: pass@10 (T=0.8)
verified: false
- type: pass@100
value: 76.9
name: pass@100 (T=0.8)
verified: false
- task:
type: text-generation
dataset:
name: HumanEvalSynthesize Python
type: bigcode/humanevalpack
metrics:
- type: pass@1
value: 35.8
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 31.6
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 29.1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: -1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 26.3
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: -1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: -1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 18.38
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 12.28
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 15.12
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: -1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 13.17
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 2.8
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: -1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 26.92
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 26.85
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 30.76
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: -1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 25.94
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 8.44
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: -1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 26.46
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 17.86
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 20.94
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: -1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 18.78
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: -1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: -1
name: pass@1 (T=0.2)
verified: false
- task:
type: text-generation
dataset:
name: MBPP
type: mbpp
metrics:
- type: pass@1
value: 31.15
name: pass@1 (T=0.01)
verified: false
- task:
type: text-generation
dataset:
name: DS-1000 (Overall Completion)
type: ds1000
metrics:
- type: pass@1
value: 10.1
name: pass@1 (T=0.2)
verified: false
- task:
type: text-generation
dataset:
name: MultiPL-HumanEval (C++)
type: nuprl/MultiPL-E
metrics:
- type: pass@1
value: 21.61
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 13.91
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 9.5
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 53.57
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 21.58
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 13.75
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 26.88
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 15.26
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 23.04
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 12.1
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 29.6
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 13.77
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 12.68
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 4.29
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 19.54
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 18.33
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 5.7
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 17.68
name: pass@1 (T=0.2)
verified: false
- type: pass@1
value: 25
name: pass@1 (T=0.2)
verified: false
---
# ysn-rfd/Refact-1_6B-fim-GGUF
This model was converted to GGUF format from [`smallcloudai/Refact-1_6B-fim`](https://huggingface.co/smallcloudai/Refact-1_6B-fim) using llama.cpp via the ggml.ai's [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where) space.
Refer to the [original model card](https://huggingface.co/smallcloudai/Refact-1_6B-fim) for more details on the model.
## ✅ Quantized Models Download List
### 🔍 Recommended Quantizations
- **✨ General CPU Use:** [`Q4_K_M`](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q4_k_m.gguf) (Best balance of speed/quality)
- **📱 ARM Devices:** [`Q4_0`](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q4_0.gguf) (Optimized for ARM CPUs)
- **🏆 Maximum Quality:** [`Q8_0`](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q8_0.gguf) (Near-original quality)
### 📦 Full Quantization Options
| 🚀 Download | 🔢 Type | 📝 Notes |
|:---------|:-----|:------|
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality |
| [Download](https://huggingface.co/ysn-rfd/Refact-1_6B-fim-GGUF/resolve/main/refact-1_6b-fim-f16.gguf) | ![F16](https://img.shields.io/badge/F16-000000) | Maximum accuracy |
💡 **Tip:** Use `F16` for maximum precision when quality is critical
---
# 🚀 Applications and Tools for Locally Quantized LLMs
## 🖥️ Desktop Applications
| Application | Description | Download Link |
|-----------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
| **Llama.cpp** | A fast and efficient inference engine for GGUF models. | [GitHub Repository](https://github.com/ggml-org/llama.cpp) |
| **Ollama** | A streamlined solution for running LLMs locally. | [Website](https://ollama.com/) |
| **AnythingLLM** | An AI-powered knowledge management tool. | [GitHub Repository](https://github.com/Mintplex-Labs/anything-llm) |
| **Open WebUI** | A user-friendly web interface for running local LLMs. | [GitHub Repository](https://github.com/open-webui/open-webui) |
| **GPT4All** | A user-friendly desktop application supporting various LLMs, compatible with GGUF models. | [GitHub Repository](https://github.com/nomic-ai/gpt4all) |
| **LM Studio** | A desktop application designed to run and manage local LLMs, supporting GGUF format. | [Website](https://lmstudio.ai/) |
| **GPT4All Chat**| A chat application compatible with GGUF models for local, offline interactions. | [GitHub Repository](https://github.com/nomic-ai/gpt4all) |
---
## 📱 Mobile Applications
| Application | Description | Download Link |
|-------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
| **ChatterUI** | A simple and lightweight LLM app for mobile devices. | [GitHub Repository](https://github.com/Vali-98/ChatterUI) |
| **Maid** | Mobile Artificial Intelligence Distribution for running AI models on mobile devices. | [GitHub Repository](https://github.com/Mobile-Artificial-Intelligence/maid) |
| **PocketPal AI** | A mobile AI assistant powered by local models. | [GitHub Repository](https://github.com/a-ghorbani/pocketpal-ai) |
| **Layla** | A flexible platform for running various AI models on mobile devices. | [Website](https://www.layla-network.ai/) |
---
## 🎨 Image Generation Applications
| Application | Description | Download Link |
|-------------------------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
| **Stable Diffusion** | An open-source AI model for generating images from text. | [GitHub Repository](https://github.com/CompVis/stable-diffusion) |
| **Stable Diffusion WebUI** | A web application providing access to Stable Diffusion models via a browser interface. | [GitHub Repository](https://github.com/AUTOMATIC1111/stable-diffusion-webui) |
| **Local Dream** | Android Stable Diffusion with Snapdragon NPU acceleration. Also supports CPU inference. | [GitHub Repository](https://github.com/xororz/local-dream) |
| **Stable-Diffusion-Android (SDAI)** | An open-source AI art application for Android devices, enabling digital art creation. | [GitHub Repository](https://github.com/ShiftHackZ/Stable-Diffusion-Android) |
---

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