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---
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- jondurbin/airoboros-2.2
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
- WizardLM/WizardLM_evol_instruct_V2_196k
- TokenBender/python_eval_instruct_51k
tags:
- llama-2
- code
- TensorBlock
- GGUF
license: llama2
base_model: uukuguy/speechless-code-mistral-orca-7b-v1.0
model-index:
- name: SpeechlessCoder
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: openai_humaneval
    metrics:
    - type: pass@1
      value: 47.561
      name: pass@1
      verified: false
---

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## uukuguy/speechless-code-mistral-orca-7b-v1.0 - GGUF

This repo contains GGUF format model files for [uukuguy/speechless-code-mistral-orca-7b-v1.0](https://huggingface.co/uukuguy/speechless-code-mistral-orca-7b-v1.0).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5165](https://github.com/ggml-org/llama.cpp/commit/1d735c0b4fa0551c51c2f4ac888dd9a01f447985).

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## 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 |
| -------- | ---------- | --------- | ----------- |
| [speechless-code-mistral-orca-7b-v1.0-Q2_K.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
| [speechless-code-mistral-orca-7b-v1.0-Q3_K_S.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
| [speechless-code-mistral-orca-7b-v1.0-Q3_K_M.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
| [speechless-code-mistral-orca-7b-v1.0-Q3_K_L.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
| [speechless-code-mistral-orca-7b-v1.0-Q4_0.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [speechless-code-mistral-orca-7b-v1.0-Q4_K_S.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
| [speechless-code-mistral-orca-7b-v1.0-Q4_K_M.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
| [speechless-code-mistral-orca-7b-v1.0-Q5_0.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [speechless-code-mistral-orca-7b-v1.0-Q5_K_S.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
| [speechless-code-mistral-orca-7b-v1.0-Q5_K_M.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
| [speechless-code-mistral-orca-7b-v1.0-Q6_K.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
| [speechless-code-mistral-orca-7b-v1.0-Q8_0.gguf](https://huggingface.co/tensorblock/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF/blob/main/speechless-code-mistral-orca-7b-v1.0-Q8_0.gguf) | Q8_0 | 7.696 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/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF --include "speechless-code-mistral-orca-7b-v1.0-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/uukuguy_speechless-code-mistral-orca-7b-v1.0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```