---
language:
- en
license: llama2
library_name: transformers
tags:
- llama-2
- code
datasets:
- jondurbin/airoboros-2.2.1
- Open-Orca/OpenOrca
- garage-bAInd/Open-Platypus
- ehartford/samantha-data
pipeline_tag: text-generation
model-index:
- name: SpeechlessCoder
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: openai_humaneval
    metrics:
    - type: pass@1
      value: 34.146
      name: pass@1
      verified: false
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 37.0
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 29.65
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 2.95
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 4.47
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 13.85
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 22.12
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b
      name: Open LLM Leaderboard
---

<p><h1> speechless-mistral-dolphin-orca-platypus-samantha-7b </h1></p>

* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/speechless-mistral-dolphin-orca-platypus-samantha-7B-AWQ)
* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/speechless-mistral-dolphin-orca-platypus-samantha-7B-GPTQ)
* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/speechless-mistral-dolphin-orca-platypus-samantha-7B-GGUF)

This model is a merge of ehartford/dolphin-2.1-mistral-7b, Open-Orca/Mistral-7B-OpenOrca, bhenrym14/mistral-7b-platypus-fp16 and ehartford/samantha-1.2-mistral-7b.

I'm very sorry for giving such a long and peculiar name. Originally, it was just my lazy behavior during the process of making models to easily distinguish various model and dataset combinations. I didn't expect the [previous model](https://huggingface.co/uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b) ([Thebloke GPTQ Version](https://huggingface.co/TheBloke/Speechless-Llama2-Hermes-Orca-Platypus-WizardLM-13B-GPTQ)) to be so popular. This time, based on some guys's request, I am releasing a model based on Mistral, and I have also inherited the style of the super long name along with it. Welcome to try the model, please refrain from harsh criticism if you don't like it.

Code: https://github.com/uukuguy/speechless

## HumanEval

| Metric | Value |
| --- | --- |
| humaneval-python |  34.146|

[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)

CodeLlama-34B-Python: 53.29

CodeLlama-34B-Instruct: 50.79

CodeLlama-13B-Instruct: 50.6

CodeLlama-34B: 45.11

CodeLlama-13B-Python: 42.89

CodeLlama-13B: 35.07 

Mistral-7B-v0.1: 30.488

## LM-Evaluation-Harness

[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)

| Metric | Value |
| --- | --- |
| ARC | 64.33 |
| HellaSwag | 84.4|
| MMLU | 63.72 |
| TruthfulQA | 52.52|
| Winogrande | 78.37 |
| GSM8K | 21.38 |
| DROP | 8.66 |
| Average | 53.34 |

# Model Card for Mistral-7B-v0.1

The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. 
Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.

For full details of this model please read our [paper](https://arxiv.org/abs/2310.06825) and [release blog post](https://mistral.ai/news/announcing-mistral-7b/).

## Model Architecture

Mistral-7B-v0.1 is a transformer model, with the following architecture choices:
- Grouped-Query Attention
- Sliding-Window Attention
- Byte-fallback BPE tokenizer

## Troubleshooting

- If you see the following error:
``
KeyError: 'mistral'
``
- Or:
``
NotImplementedError: Cannot copy out of meta tensor; no data!
``

Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.

## Notice

Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms.

## The Mistral AI Team
 
Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed.`

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-mistral-dolphin-orca-platypus-samantha-7b)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 53.34   |
| ARC (25-shot)         | 64.33          |
| HellaSwag (10-shot)   | 84.4    |
| MMLU (5-shot)         | 63.72         |
| TruthfulQA (0-shot)   | 52.52   |
| Winogrande (5-shot)   | 78.37   |
| GSM8K (5-shot)        | 21.38        |
| DROP (3-shot)         | 8.66         |

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-mistral-dolphin-orca-platypus-samantha-7b)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |18.34|
|IFEval (0-Shot)    |37.00|
|BBH (3-Shot)       |29.65|
|MATH Lvl 5 (4-Shot)| 2.95|
|GPQA (0-shot)      | 4.47|
|MuSR (0-shot)      |13.85|
|MMLU-PRO (5-shot)  |22.12|