QuantFactory/granite-3.1-3b-a800m-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: QuantFactory/granite-3.1-3b-a800m-instruct-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-10-12 12:41:20 +08:00
commit f496df2f2d
17 changed files with 224 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
granite-3.1-3b-a800m-instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q5_1.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
granite-3.1-3b-a800m-instruct.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text

132
README.md Normal file
View File

@@ -0,0 +1,132 @@
---
pipeline_tag: text-generation
inference: false
license: apache-2.0
library_name: transformers
tags:
- language
- granite-3.1
base_model:
- ibm-granite/granite-3.1-3b-a800m-base
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
# QuantFactory/granite-3.1-3b-a800m-instruct-GGUF
This is quantized version of [ibm-granite/granite-3.1-3b-a800m-instruct](https://huggingface.co/ibm-granite/granite-3.1-3b-a800m-instruct) created using llama.cpp
# Original Model Card
# Granite-3.1-3B-A800M-Instruct
**Model Summary:**
Granite-3.1-3B-A800M-Instruct is a 3B parameter long-context instruct model finetuned from Granite-3.1-3B-A800M-Base using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets tailored for solving long context problems. This model is developed using a diverse set of techniques with a structured chat format, including supervised finetuning, model alignment using reinforcement learning, and model merging.
- **Developers:** Granite Team, IBM
- **GitHub Repository:** [ibm-granite/granite-3.1-language-models](https://github.com/ibm-granite/granite-3.1-language-models)
- **Website**: [Granite Docs](https://www.ibm.com/granite/docs/)
- **Paper:** [Granite 3.1 Language Models (coming soon)](https://huggingface.co/collections/ibm-granite/granite-31-language-models-6751dbbf2f3389bec5c6f02d)
- **Release Date**: December 18th, 2024
- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
**Supported Languages:**
English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. Users may finetune Granite 3.1 models for languages beyond these 12 languages.
**Intended Use:**
The model is designed to respond to general instructions and can be used to build AI assistants for multiple domains, including business applications.
*Capabilities*
* Summarization
* Text classification
* Text extraction
* Question-answering
* Retrieval Augmented Generation (RAG)
* Code related tasks
* Function-calling tasks
* Multilingual dialog use cases
* Long-context tasks including long document/meeting summarization, long document QA, etc.
**Generation:**
This is a simple example of how to use Granite-3.1-3B-A800M-Instruct model.
Install the following libraries:
```shell
pip install torch torchvision torchaudio
pip install accelerate
pip install transformers
```
Then, copy the snippet from the section that is relevant for your use case.
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
device = "auto"
model_path = "ibm-granite/granite-3.1-3b-a800m-Instruct"
tokenizer = AutoTokenizer.from_pretrained(model_path)
# drop device_map if running on CPU
model = AutoModelForCausalLM.from_pretrained(model_path, device_map=device)
model.eval()
# change input text as desired
chat = [
{ "role": "user", "content": "Please list one IBM Research laboratory located in the United States. You should only output its name and location." },
]
chat = tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
# tokenize the text
input_tokens = tokenizer(chat, return_tensors="pt").to(device)
# generate output tokens
output = model.generate(**input_tokens,
max_new_tokens=100)
# decode output tokens into text
output = tokenizer.batch_decode(output)
# print output
print(output)
```
**Model Architecture:**
Granite-3.1-3B-A800M-Instruct is based on a decoder-only dense transformer architecture. Core components of this architecture are: GQA and RoPE, MLP with SwiGLU, RMSNorm, and shared input/output embeddings.
| Model | 2B Dense | 8B Dense | 1B MoE | 3B MoE |
| :-------- | :--------| :-------- | :------| :------|
| Embedding size | 2048 | 4096 | 1024 | **1536** |
| Number of layers | 40 | 40 | 24 | **32** |
| Attention head size | 64 | 128 | 64 | **64** |
| Number of attention heads | 32 | 32 | 16 | **24** |
| Number of KV heads | 8 | 8 | 8 | **8** |
| MLP hidden size | 8192 | 12800 | 512 | **512** |
| MLP activation | SwiGLU | SwiGLU | SwiGLU | **SwiGLU** |
| Number of experts | — | — | 32 | **40** |
| MoE TopK | — | — | 8 | **8** |
| Initialization std | 0.1 | 0.1 | 0.1 | **0.1** |
| Sequence length | 128K | 128K | 128K | **128K** |
| Position embedding | RoPE | RoPE | RoPE | **RoPE** |
| # Parameters | 2.5B | 8.1B | 1.3B | **3.3B** |
| # Active parameters | 2.5B | 8.1B | 400M | **800M** |
| # Training tokens | 12T | 12T | 10T | **10T** |
**Training Data:**
Overall, our SFT data is largely comprised of three key sources: (1) publicly available datasets with permissive license, (2) internal synthetic data targeting specific capabilities including long-context tasks, and (3) very small amounts of human-curated data. A detailed attribution of datasets can be found in the [Granite 3.0 Technical Report](https://github.com/ibm-granite/granite-3.0-language-models/blob/main/paper.pdf), [Granite 3.1 Technical Report (coming soon)](https://huggingface.co/collections/ibm-granite/granite-31-language-models-6751dbbf2f3389bec5c6f02d), and [Accompanying Author List](https://github.com/ibm-granite/granite-3.0-language-models/blob/main/author-ack.pdf).
**Infrastructure:**
We train Granite 3.1 Language Models using IBM's super computing cluster, Blue Vela, which is outfitted with NVIDIA H100 GPUs. This cluster provides a scalable and efficient infrastructure for training our models over thousands of GPUs.
**Ethical Considerations and Limitations:**
Granite 3.1 Instruct Models are primarily finetuned using instruction-response pairs mostly in English, but also multilingual data covering eleven languages. Although this model can handle multilingual dialog use cases, its performance might not be similar to English tasks. In such case, introducing a small number of examples (few-shot) can help the model in generating more accurate outputs. While this model has been aligned by keeping safety in consideration, the model may in some cases produce inaccurate, biased, or unsafe responses to user prompts. So we urge the community to use this model with proper safety testing and tuning tailored for their specific tasks.
<!-- ## Citation
```
@misc{granite-models,
author = {author 1, author2, ...},
title = {},
journal = {},
volume = {},
year = {2024},
url = {https://arxiv.org/abs/0000.00000},
}
``` -->

1
configuration.json Normal file
View File

@@ -0,0 +1 @@
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

3
granite-3.1-3b-a800m-instruct.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b017535038f59ce073374c8940257fddb40085fe14e66eaed64c3371670c5b53
size 1266142240

3
granite-3.1-3b-a800m-instruct.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5622b4676441f659bfb490b303ebd28ecfa713f951ccbf114299b146050a4559
size 1773981152

3
granite-3.1-3b-a800m-instruct.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e817f7c533e607c33f05da342af8f12b2e9837ccba40b5343a710dc137da6b30
size 1643630048

3
granite-3.1-3b-a800m-instruct.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8a8dd70fd7d588fec939318b5182b095e5619d7aaace8ae1e82b302e0e3e2ede
size 1488506336

3
granite-3.1-3b-a800m-instruct.Q4_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d1677330ab7e4825b8a4413e2c1abbad23f53a7e077eb8b3f87ad79e6d618b07
size 1926352960

3
granite-3.1-3b-a800m-instruct.Q4_1.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7e7365f83293d37662ce3f2f49694626d6b3eaed7bbc0f44b8fa07184e3f0208
size 2132398432

3
granite-3.1-3b-a800m-instruct.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2e504f1adeb2b914c2ebb14f4993f1d60a28d19da79b1b4d03bd9cc36384a4a6
size 2059358272

3
granite-3.1-3b-a800m-instruct.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1771483dd8f618d21198b33129e6a60cbcf7c24b694435ce74d5b4a5a8e0803e
size 1942474816

3
granite-3.1-3b-a800m-instruct.Q5_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a72390059efa6eb9eb3920b774e3c9e19c0b5c9827e2d310f277a511dad0f3d2
size 2338443904

3
granite-3.1-3b-a800m-instruct.Q5_1.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:655c684f7caf5be4a12324fdb950c38f901c0e0c40ca573b0f0bac37de253ff9
size 2544489376

3
granite-3.1-3b-a800m-instruct.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ed3c4f25dbaeb1f1ebafd00f04451516d0688e49559730439fb6c192d3c088f8
size 2406961792

3
granite-3.1-3b-a800m-instruct.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ebf011e9f364064fe9de6de156e43d637b4007831c08b2c93d3124b2d94c2d75
size 2338443904

3
granite-3.1-3b-a800m-instruct.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8c626843fd5781f28e18f44a3cb5127fe0d11510124a60c152f35276699395a0
size 2776290560

3
granite-3.1-3b-a800m-instruct.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f76649b9473802b15f53adb5e7530fa11eafac77a71a997c3b711f8daddd4d43
size 3593002368