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Nxcode CQ 7B GGUF

Nxcode-CQ-7B-GGUF is the GGUF Model of Nxcode-CQ-7B-orpo is an Monolithic Preference Optimization without Reference Model fine-tune of Qwen/CodeQwen1.5-7B on 100k samples of high-quality ranking data.

TipoOtherVersiónRevision ccc13fcCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
13,5 GB
Versión
vRevision ccc13fc
Actualizado
2 oct 2026
Descargas
12
Fuente
Hugging Face

Descripción de la fuente

Introduction

Nxcode-CQ-7B-GGUF is the GGUF Model of Nxcode-CQ-7B-orpo is an Monolithic Preference Optimization without Reference Model fine-tune of Qwen/CodeQwen1.5-7B on 100k samples of high-quality ranking data.

Evalplus

EvalPluspass@1
HumanEval86.6
HumanEval+83.5
MBPP(v0.2.0)82.3
MBPP+(v0.2.0)70.4

We use a simple template to generate the solution for evalplus:

"Complete the following Python function:\n{prompt}"

Evalplus Leaderboard

ModelsHumanEvalHumanEval+
GPT-4-Turbo (April 2024)90.286.6
GPT-4 (May 2023)88.481.17
GPT-4-Turbo (Nov 2023)85.479.3
CodeQwen1.5-7B-Chat83.578.7
claude-3-opus (Mar 2024)82.976.8
DeepSeek-Coder-33B-instruct81.175.0
WizardCoder-33B-V1.179.973.2
OpenCodeInterpreter-DS-33B79.373.8
speechless-codellama-34B-v2.077.472
GPT-3.5-Turbo (Nov 2023)76.870.7
Llama3-70B-instruct76.270.7

Bigcode Leaderboard

Bigcode Leaderboard

09/05/2024

Top 1 average score.

Top 2 winrate.

image/png

You can Download workflow

Workflows

Credit: Developer

Fuentes

1 fuente
Hugging FacePrincipalVersión ccc13fc3d98df66758b6f3b7e809a542e80eb208
huggingface.co/comfyuiblog/Nxcode-CQ-7B-GGUF/tree/ccc13fc3d98df66758b6f3b7e809a542e80eb208

Verificado 2 oct

Artefactos del modelo

1 artefacto

nxcode.gguf

gguf · 13,5 GB · SHA-256 e493a3a301c7…b346 · Hugging Face

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Extractos de fuentes

3 extractos

--- license: apache-2.0 --- ## Introduction Nxcode-CQ-7B-GGUF is the GGUF Model of Nxcode-CQ-7B-orpo is an [Monolithic Preference Optimization without Reference Model](https://arxiv.org/abs/2403.07691) fine-tune of Qwen/CodeQwen1.5-7B on 100k samples of high-quality ranking data. ## [Evalplus](https://github.com/evalplus/evalplus) | EvalPlus | pass@1 | | --- | --- | | HumanEval | 86.6 | | HumanEval+ | 83.5 | | MBPP(v0.2.0) | 82.3 | | MBPP+(v0.2.0) | 70.4 | We use a simple template to generate the solution for evalplus: ```python "Complete the following Python function:\n{prompt}" ``` [Evalplus Leaderboard](https://evalplus.github.io/leaderboard.html) | Models | HumanEval | HumanEval+| |------ | ------ | ------ | | GPT-4-Turbo (April 2024)| 90.2| 86.6| | GPT-4 (May 2023)| 88.4| 81.17| | GPT-4-Turbo (Nov 2023)| 85.4| 79.3| | CodeQwen1.5-7B-Chat| 83.5| 78.7| | claude-3-opus (Mar 2024)| 82.9| 76.8| | DeepSeek-Coder-33B-instruct| 81.1| 75.0| | WizardCoder-33B-V1.1| 79.9| 73.2| | OpenCodeInterpreter-DS-33B| 79.3| 73.8| | speechless-codellama-34B-v2.0| 77.4| 72| | GPT-3.5-Turbo (Nov 2023)| 76.8| 70.7| | Llama3-70B-instruct| 76.2| 70.7| ## Bigcode Leaderboard [Bigcode Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard) **09/05/2024** Top 1 average score. Top 2 winrate. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/5ee1b417636bdb3834e2da19/OQonD6a7aNjnN9SsTkFp-.png) You can Download workflow [Workflows](https://comfyuiblog.com/) Credit: [Developer](https://cityofsewardne.gov/wp-content/uploads/formidable/8/jnm.pdf)

Source context: 12 downloads · 0 likes · Repo comfyuiblog/Nxcode-CQ-7B-GGUF

Source context: 8 downloads · 0 likes · Repo comfyuiblog/Nxcode-CQ-7B-GGUF