初始化项目,由ModelHub XC社区提供模型
Model: prithivMLmods/Lucy-f32-GGUF Source: Original Platform
This commit is contained in:
42
README.md
Normal file
42
README.md
Normal file
@@ -0,0 +1,42 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
base_model:
|
||||
- Menlo/Lucy
|
||||
language:
|
||||
- en
|
||||
pipeline_tag: text-generation
|
||||
library_name: transformers
|
||||
tags:
|
||||
- text-generation-inference
|
||||
---
|
||||
|
||||
# **Lucy-f32-GGUF**
|
||||
|
||||
> Lucy is a compact but capable 1.7B model focused on agentic web search and lightweight browsing. Built on Qwen3-1.7B, Lucy inherits deep research capabilities from larger models while being optimized to run efficiently on mobile devices, even with CPU-only configurations, achieved this through machine-generated task vectors that optimize thinking processes, smooth reward functions across multiple categories, and pure reinforcement learning without any supervised fine-tuning.
|
||||
|
||||
## Model Files
|
||||
|
||||
| File Name | Size | Quant Type |
|
||||
|-----------|------|------------|
|
||||
| Lucy.F32.gguf | 6.89 GB | F32 |
|
||||
| Lucy.BF16.gguf | 3.45 GB | BF16 |
|
||||
| Lucy.F16.gguf | 3.45 GB | F16 |
|
||||
| Lucy.Q8_0.gguf | 1.83 GB | Q8_0 |
|
||||
| Lucy.Q6_K.gguf | 1.42 GB | Q6_K |
|
||||
| Lucy.Q5_K_M.gguf | 1.26 GB | Q5_K_M |
|
||||
| Lucy.Q5_K_S.gguf | 1.23 GB | Q5_K_S |
|
||||
| Lucy.Q4_K_M.gguf | 1.11 GB | Q4_K_M |
|
||||
| Lucy.Q4_K_S.gguf | 1.06 GB | Q4_K_S |
|
||||
| Lucy.Q3_K_L.gguf | 1 GB | Q3_K_L |
|
||||
| Lucy.Q3_K_M.gguf | 940 MB | Q3_K_M |
|
||||
| Lucy.Q3_K_S.gguf | 867 MB | Q3_K_S |
|
||||
| Lucy.Q2_K.gguf | 778 MB | Q2_K |
|
||||
|
||||
## Quants Usage
|
||||
|
||||
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
|
||||
|
||||
Here is a handy graph by ikawrakow comparing some lower-quality quant
|
||||
types (lower is better):
|
||||
|
||||

|
||||
Reference in New Issue
Block a user