---
license: other
library_name: transformers
tags:
- code
pipeline_tag: text-generation
license_name: deepseek-license
license_link: LICENSE
model-index:
- name: speechless-nl2sql-ds-6.7b
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 36.35
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-nl2sql-ds-6.7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 52.83
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-nl2sql-ds-6.7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 36.8
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-nl2sql-ds-6.7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 40.55
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-nl2sql-ds-6.7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 55.96
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-nl2sql-ds-6.7b
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 15.09
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/speechless-nl2sql-ds-6.7b
      name: Open LLM Leaderboard
---
<p><h1> speechless-nl2sql-ds-6.7b  </h1></p>

[4,5,8-bit GGUF models for CPU+GPU inference](https://huggingface.co/uukuguy/speechless-nl2sql-ds-6.7b/tree/main/GGUF)

Use the Spider and BIRDSQL datasets to fine-tune deepseek-ai/deepseek-coder-6.7b in order to improve the model's text to SQL abilities.

Total 18,087 samples 40 MB



# [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-nl2sql-ds-6.7b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |39.59|
|AI2 Reasoning Challenge (25-Shot)|36.35|
|HellaSwag (10-Shot)              |52.83|
|MMLU (5-Shot)                    |36.80|
|TruthfulQA (0-shot)              |40.55|
|Winogrande (5-shot)              |55.96|
|GSM8k (5-shot)                   |15.09|