transformers gguf gemma2 text-generation-inference f16 llama-cpp gguf-my-repo text-generation en base_model:prithivMLmods/GWQ-9B-Preview2 base_model:quantized:prithivMLmods/GWQ-9B-Preview2 license:creativeml-openrail-m endpoints_compatible region:us conversational
---
base_model: prithivMLmods/GWQ-9B-Preview2
language:
- en
library_name: transformers
license: creativeml-openrail-m
pipeline_tag: text-generation
tags:
- gemma2
- text-generation-inference
- f16
- llama-cpp
- gguf-my-repo
---

# Triangle104/GWQ-9B-Preview2-Q8_0-GGUF
This model was converted to GGUF format from [`prithivMLmods/GWQ-9B-Preview2`](https://huggingface.co/prithivMLmods/GWQ-9B-Preview2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/prithivMLmods/GWQ-9B-Preview2) for more details on the model.

---

Chain of Continuous Thought Synthetic Dataset, which enhances its 
ability to perform reasoning, multi-step problem solving, and logical 
inferences.


Text Generation:
The model is ideal for 
creative writing tasks such as generating poems, stories, and essays. It
 can also be used for generating code comments, documentation, and 
markdown files.


Instruction Following:
GWQ’s 
instruction-tuned variant is suitable for generating responses based on 
user instructions, making it useful for virtual assistants, tutoring 
systems, and automated customer support.


Domain-Specific Applications:
Thanks to its 
modular design and open-source nature, the model can be fine-tuned for 
specific tasks like legal document summarization, medical record 
analysis, or financial report generation.





	
		
	

		Limitations of GWQ2
	



Resource Requirements:
Although lightweight 
compared to larger models, the 9B parameter size still requires 
significant computational resources, including GPUs with large memory 
for inference.


Knowledge Cutoff:
The model’s pre-training 
data may not include recent information, making it less effective for 
answering queries on current events or newly developed topics.


Bias in Outputs:
Since the model is trained 
on publicly available datasets, it may inherit biases present in those 
datasets, leading to potentially biased or harmful outputs in sensitive 
contexts.


Hallucinations:
Like other large language 
models, GWQ can occasionally generate incorrect or nonsensical 
information, especially when asked for facts or reasoning outside its 
training scope.


Lack of Common-Sense Reasoning:
While GWQ is 
fine-tuned for reasoning, it may still struggle with tasks requiring 
deep common-sense knowledge or nuanced understanding of human behavior 
and emotions.


Dependency on Fine-Tuning:
For optimal 
performance on domain-specific tasks, fine-tuning on relevant datasets 
is required, which demands additional computational resources and 
expertise.


Context Length Limitation:
The model’s 
ability to process long documents is limited by its maximum context 
window size. If the input exceeds this limit, truncation may lead to 
loss of important information.

---
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo Triangle104/GWQ-9B-Preview2-Q8_0-GGUF --hf-file gwq-9b-preview2-q8_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/GWQ-9B-Preview2-Q8_0-GGUF --hf-file gwq-9b-preview2-q8_0.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo Triangle104/GWQ-9B-Preview2-Q8_0-GGUF --hf-file gwq-9b-preview2-q8_0.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/GWQ-9B-Preview2-Q8_0-GGUF --hf-file gwq-9b-preview2-q8_0.gguf -c 2048
```
