README.md

---
license: apache-2.0
base_model: DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x
language:
- en
pipeline_tag: text-generation
tags:
- merge
- programming
- code generation
- code
- coding
- coder
- chat
- brainstorm
- qwen
- qwen3
- qwencoder
- brainstorm20x
- esper
- esper-3
- valiant
- valiant-labs
- qwen-3
- qwen-3-8b
- 8b
- reasoning
- code-instruct
- python
- javascript
- dev-ops
- jenkins
- terraform
- scripting
- powershell
- azure
- aws
- gcp
- cloud
- problem-solving
- architect
- engineer
- developer
- creative
- analytical
- expert
- rationality
- conversational
- instruct
- llama-cpp
- gguf-my-repo
datasets:
- sequelbox/Titanium2.1-DeepSeek-R1
- sequelbox/Tachibana2-DeepSeek-R1
- sequelbox/Raiden-DeepSeek-R1
library_name: transformers
---

# Triangle104/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x-Q5_K_M-GGUF
This model was converted to GGUF format from [`DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x`](https://huggingface.co/DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x) 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/DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x) for more details on the model.

---
This model contains Brainstorm 20x, combined with ValiantLabs's 8B General / Coder (instruct model):

https://huggingface.co/ValiantLabs/Qwen3-8B-Esper3

Information on the 8B model below, followed by Brainstorm 20x adapter (by DavidAU) and then a complete help section for running LLM / AI models.

The Brainstorm adapter improves code generation, and unique code solving abilities.

This model requires:

- Jinja (embedded) or CHATML template
- Max context of 40k.

Settings used for testing (suggested):

- Temp .3 to .7
-  Rep pen 1.05 to 1.1
- Topp .8 , minp .05
- Topk 20
- No system prompt.

FOR CODING:

Higher temps: .6 to .9 (even over 1) work better for more complex coding / especially with more restrictions.

This model will respond well to both detailed instructions and step by step refinement and additions to code.

As this is an instruct model, it will also benefit from a detailed system prompt too.

---
## 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/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x-Q5_K_M-GGUF --hf-file qwen3-esper3-reasoning-coder-instruct-12b-brainstorm20x-q5_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x-Q5_K_M-GGUF --hf-file qwen3-esper3-reasoning-coder-instruct-12b-brainstorm20x-q5_k_m.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/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x-Q5_K_M-GGUF --hf-file qwen3-esper3-reasoning-coder-instruct-12b-brainstorm20x-q5_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/Qwen3-Esper3-Reasoning-CODER-Instruct-12B-Brainstorm20x-Q5_K_M-GGUF --hf-file qwen3-esper3-reasoning-coder-instruct-12b-brainstorm20x-q5_k_m.gguf -c 2048
```