---
base_model: harkov000/hermes-stheno-8B-v0.1
library_name: transformers
tags:
- mergekit
- merge
- llama-cpp
- gguf-my-repo
---

# Triangle104/hermes-stheno-8B-v0.1-Q4_K_S-GGUF
This model was converted to GGUF format from [`harkov000/hermes-stheno-8B-v0.1`](https://huggingface.co./harkov000/hermes-stheno-8B-v0.1) 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./harkov000/hermes-stheno-8B-v0.1) for more details on the model.

---
Model details:
-
This is a merge of pre-trained language models created using mergekit.

Merge Method
-
This model was merged using the SLERP merge method.
Models Merged

The following models were included in the merge:

    Sao10K/Llama-3.1-8B-Stheno-v3.4
    NousResearch/Hermes-3-Llama-3.1-8B

Configuration
-
The following YAML configuration was used to produce this model:

slices:
- sources:
  - model: NousResearch/Hermes-3-Llama-3.1-8B
    layer_range:
    - 0
    - 32
  - model: Sao10K/Llama-3.1-8B-Stheno-v3.4
    layer_range:
    - 0
    - 32
merge_method: slerp
base_model: NousResearch/Hermes-3-Llama-3.1-8B
parameters:
  t: [0.0, 0.15, 0.3, 0.15, 0.0]
dtype: bfloat16

---
## 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/hermes-stheno-8B-v0.1-Q4_K_S-GGUF --hf-file hermes-stheno-8b-v0.1-q4_k_s.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/hermes-stheno-8B-v0.1-Q4_K_S-GGUF --hf-file hermes-stheno-8b-v0.1-q4_k_s.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/hermes-stheno-8B-v0.1-Q4_K_S-GGUF --hf-file hermes-stheno-8b-v0.1-q4_k_s.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/hermes-stheno-8B-v0.1-Q4_K_S-GGUF --hf-file hermes-stheno-8b-v0.1-q4_k_s.gguf -c 2048
```