aashish1904/Jan-v3-4B-base-instruct-GGUF
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: aashish1904/Jan-v3-4B-base-instruct-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-10-12 05:11:17 +08:00
commit ec3471c6d2
16 changed files with 225 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

49
.gitattributes vendored Normal file
View File

@@ -0,0 +1,49 @@
*.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
Jan-v3-4B-base-instruct.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q5_1.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Jan-v3-4B-base-instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

3
Jan-v3-4B-base-instruct.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d7e89e30869dc3fcec3c292547b9ad56a5cdfed65de7a6c7df35a8df901b0283
size 1797124512

3
Jan-v3-4B-base-instruct.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6ceef3fee5c4d0eefb2bf97e1bcb930b4efe3353cba54e9b0dad4e01d11f9ae4
size 2406913952

3
Jan-v3-4B-base-instruct.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:23439144a3f3692a9d2fafd409c5a7facc8248f6322ccf1ab3c4b48fbf469e30
size 2242746272

3
Jan-v3-4B-base-instruct.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3939d2182b61c1bb078a51ab8e8e8f15e5416917c23dcc49efc7c84397ef504c
size 2054125472

3
Jan-v3-4B-base-instruct.Q4_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6376f7bccbdd13777ef1523abe7f5b87509149619935bebbbf9d50f458fc74b1
size 2588333472

3
Jan-v3-4B-base-instruct.Q4_1.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:de04e56cbb191a695696d45e34717660e643fa58b7414213ad03c173e293ee7c
size 2839725472

3
Jan-v3-4B-base-instruct.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:17f17b38e58c46629217fd8d99571b7ff8ea3f27054b5a5923a0059af613498a
size 2716067232

3
Jan-v3-4B-base-instruct.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7b9d86dfe1930cf248e624a7fe3964322c623a24340dcdf98d7392112fb88521
size 2602096032

3
Jan-v3-4B-base-instruct.Q5_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1590b0973f304317b2c192db4a793c4c1f390ab2071a25b5f3af69e9afff50f9
size 3091117472

3
Jan-v3-4B-base-instruct.Q5_1.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ff086a8774fd2c8fdbcaea6d953878b330c2fdb2bf85d2d79f7978cbb865e53a
size 3342509472

3
Jan-v3-4B-base-instruct.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:db2aa5329673cee642909a545aa29f1c2ce04a39cfcf30fe899c5f7e447dc235
size 3156919712

3
Jan-v3-4B-base-instruct.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:11d23a41301ba461584a5f26b9b47b80dd661f91899a47679631e3dd52e52c2a
size 3091117472

3
Jan-v3-4B-base-instruct.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4ea80da18002d6048ddbc67796d4e21c9f0ec36401f6ad284188dde28b1f73b7
size 3625325472

3
Jan-v3-4B-base-instruct.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f5da07497c5d14dc98403b97527dab87733a010a0fe248a54f8f71e1378f5800
size 4693669792

134
README.md Normal file
View File

@@ -0,0 +1,134 @@
---
base_model: janhq/Jan-v3-4B-base-instruct
library_name: gguf
pipeline_tag: text-generation
tags:
- gguf
- quantized
- llama-cpp
---
# Jan-v3-4B-base-instruct - GGUF
This is a quantized GGUF version of [janhq/Jan-v3-4B-base-instruct](https://huggingface.co/janhq/Jan-v3-4B-base-instruct) created using [llama.cpp](https://github.com/ggerganov/llama.cpp).
## Available Quantizations
| Filename | Quant Type | Description |
|----------|------------|-------------|
| Jan-v3-4B-base-instruct.Q2_K.gguf | Q2_K | Smallest, significant quality loss |
| Jan-v3-4B-base-instruct.Q3_K_S.gguf | Q3_K_S | Very small, low quality |
| Jan-v3-4B-base-instruct.Q3_K_M.gguf | Q3_K_M | Very small, medium quality |
| Jan-v3-4B-base-instruct.Q3_K_L.gguf | Q3_K_L | Small, better quality than Q3_K_M |
| Jan-v3-4B-base-instruct.Q4_0.gguf | Q4_0 | Small, legacy format |
| Jan-v3-4B-base-instruct.Q4_1.gguf | Q4_1 | Small, legacy format with better accuracy |
| Jan-v3-4B-base-instruct.Q4_K_S.gguf | Q4_K_S | Small, good quality |
| Jan-v3-4B-base-instruct.Q4_K_M.gguf | Q4_K_M | Medium, balanced quality - recommended |
| Jan-v3-4B-base-instruct.Q5_0.gguf | Q5_0 | Medium, legacy format |
| Jan-v3-4B-base-instruct.Q5_1.gguf | Q5_1 | Medium, legacy format with better accuracy |
| Jan-v3-4B-base-instruct.Q5_K_S.gguf | Q5_K_S | Medium, good quality |
| Jan-v3-4B-base-instruct.Q5_K_M.gguf | Q5_K_M | Medium, high quality - recommended |
| Jan-v3-4B-base-instruct.Q6_K.gguf | Q6_K | Large, very high quality |
| Jan-v3-4B-base-instruct.Q8_0.gguf | Q8_0 | Large, near-lossless quality |
## Usage
### With llama.cpp
```bash
./llama-cli -m Jan-v3-4B-base-instruct.Q4_K_M.gguf -p "Your prompt here"
```
### With Ollama
```bash
ollama run hf.co/aashish1904/Jan-v3-4B-base-instruct-GGUF
```
## Original Model
- **Source**: [janhq/Jan-v3-4B-base-instruct](https://huggingface.co/janhq/Jan-v3-4B-base-instruct)
- **Quantized by**: GGUF Quantizer Space
---
## Original Model Card
# Jan-v3-4B-base-instruct: a 4B baseline model for fine-tuning
[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue?logo=github)](https://github.com/janhq/jan)
[![License](https://img.shields.io/badge/License-Apache%202.0-yellow)](https://opensource.org/licenses/Apache-2.0)
[![Jan App](https://img.shields.io/badge/Powered%20by-Jan%20App-purple?style=flat&logo=android)](https://jan.ai/)
![image](https://cdn-uploads.huggingface.co/production/uploads/655e3b59d5c0d3db5359ca3c/A65FII_r3rAi9wZtK5P_v.png)
## Overview
**Jan-v3-4B-base-instruct** is a 4B-parameter model obtained via post-training distillation from a larger teacher, transferring capabilities while preserving general-purpose performance on standard benchmarks. The result is a compact, ownable base that is straightforward to fine-tune, broadly applicable and minimizing the usual capacity–capability trade-offs.
Building on this base, **Jan-Code**, a code-tuned variant, **will be released soon.**
## Model Overview
This repo contains the BF16 version of **Jan-v3-4B-base-instruct**, which has the following features:
- Type: Causal Language Models
- Training Stage: Pretraining & Post-training
- Number of Parameters: 4B in total
- Number of Layers: 36
- Number of Attention Heads (GQA): 32 for Q and 8 for KV
- Context Length: **262,144 natively**.
**Intended Use**
* A better small base for downstream work: improved instruction following out of the box, strong starting point for fine-tuning, and effective lightweight coding assistance.
## Performance
![image](https://cdn-uploads.huggingface.co/production/uploads/655e3b59d5c0d3db5359ca3c/IGuQdKZ0_IGIwL0Wkcasi.png)
## Quick Start
### Integration with Jan Apps
Jan-v3 demo is hosted on **Jan Browser** at **[chat.jan.ai](https://chat.jan.ai/)**. It is also optimized for direct integration with [Jan Desktop](https://jan.ai/), select the model in the app to start using it.
### Local Deployment
**Using vLLM:**
```bash
vllm serve janhq/Jan-v3-4B-base-instruct \
--host 0.0.0.0 \
--port 1234 \
--enable-auto-tool-choice \
--tool-call-parser hermes
```
**Using llama.cpp:**
```bash
llama-server --model Jan-v3-4B-base-instruct-Q8_0.gguf \
--host 0.0.0.0 \
--port 1234 \
--jinja \
--no-context-shift
```
### Recommended Parameters
For optimal performance in agentic and general tasks, we recommend the following inference parameters:
```yaml
temperature: 0.7
top_p: 0.8
top_k: 20
```
## 🤝 Community & Support
- **Discussions**: [Hugging Face Community](https://huggingface.co/janhq/Jan-v2-VL-8B/discussions)
- **Jan App**: Learn more about the Jan App at [jan.ai](https://jan.ai/)
## 📄 Citation
```bibtex
Updated Soon
```