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---
license: apache-2.0
language:
- tr
base_model: Orbina/Orbita-v0.1
tags:
- TensorBlock
- GGUF
model-index:
- name: Orbita-v0.1
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge TR
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc
      value: 41.97
      name: accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag TR
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc
      value: 48
      name: accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU TR
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 49.51
      name: accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA TR
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: acc
      value: 50.78
      name: accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande TR
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 56.16
      name: accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k TR
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 50.41
      name: accuracy
---

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## Orbina/Orbita-v0.1 - GGUF

This repo contains GGUF format model files for [Orbina/Orbita-v0.1](https://huggingface.co/Orbina/Orbita-v0.1).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).

## Prompt template

```
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Orbita-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q2_K.gguf) | Q2_K | 5.506 GB | smallest, significant quality loss - not recommended for most purposes |
| [Orbita-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q3_K_S.gguf) | Q3_K_S | 6.309 GB | very small, high quality loss |
| [Orbita-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q3_K_M.gguf) | Q3_K_M | 6.909 GB | very small, high quality loss |
| [Orbita-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q3_K_L.gguf) | Q3_K_L | 7.302 GB | small, substantial quality loss |
| [Orbita-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q4_0.gguf) | Q4_0 | 7.618 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Orbita-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q4_K_S.gguf) | Q4_K_S | 7.977 GB | small, greater quality loss |
| [Orbita-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q4_K_M.gguf) | Q4_K_M | 8.560 GB | medium, balanced quality - recommended |
| [Orbita-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q5_0.gguf) | Q5_0 | 9.176 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Orbita-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q5_K_S.gguf) | Q5_K_S | 9.339 GB | large, low quality loss - recommended |
| [Orbita-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q5_K_M.gguf) | Q5_K_M | 9.812 GB | large, very low quality loss - recommended |
| [Orbita-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q6_K.gguf) | Q6_K | 11.465 GB | very large, extremely low quality loss |
| [Orbita-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/Orbita-v0.1-GGUF/tree/main/Orbita-v0.1-Q8_0.gguf) | Q8_0 | 14.027 GB | very large, extremely low quality loss - not recommended |


## Downloading instruction

### Command line

Firstly, install Huggingface Client

```shell
pip install -U "huggingface_hub[cli]"
```

Then, downoad the individual model file the a local directory

```shell
huggingface-cli download tensorblock/Orbita-v0.1-GGUF --include "Orbita-v0.1-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```

If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:

```shell
huggingface-cli download tensorblock/Orbita-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```