Converted version of
Qwen2.5-Coder-7B-Instruct
to 4-bit using bitsandbytes. For more information about the model,
refer to the model's page.
Impact on performance
Impact of quantization on a set of models.
We evaluated the models using the
PoLL (Pool of LLM)
technique a panel of giga-models (GPT-4o, Gemini Pro 1.5, and Claude-Sonnet 3.5). The scoring ranged from 0,
indicating a model unsuitable for the task, to 5, representing a model that fully met expectations. The evaluation was based on 67 instructions across four programming
languages: Python, Java, JavaScript, and Pseudo-code. All tests were conducted in a French-language context, and models were heavily penalized if they responded in
another language, even if the response was technically correct.
Performance Scores (on a scale of 5):
Model
Score
# params (Billion)
size (GB)
gemini-1.5-pro
4.51
NA
NA
gpt-4o
4.51
NA
NA
claude3.5-sonnet
4.49
NA
NA
deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
4.24
15.7
31.4
meta-llama/Meta-Llama-3.1-70B-Instruct
4.23
70.06
141.2
cmarkea/Meta-Llama-3.1-70B-Instruct-4bit
4.14
70.06
35.3
Qwen/Qwen2.5-Coder-7B-Instruct
4.11
7.62
15.24
cmarkea/Qwen2.5-Coder-7B-Instruct-4bit
4.08
7.62
3.81
cmarkea/Mixtral-8x7B-Instruct-v0.1-4bit
3.8
46.7
23.35
meta-llama/Meta-Llama-3.1-8B-Instruct
3.73
8.03
16.06
mistralai/Mixtral-8x7B-Instruct-v0.1
3.33
46.7
93.4
codellama/CodeLlama-13b-Instruct-hf
3.33
13
26
codellama/CodeLlama-34b-Instruct-hf
3.27
33.7
67.4
codellama/CodeLlama-7b-Instruct-hf
3.19
6.74
13.48
cmarkea/CodeLlama-34b-Instruct-hf-4bit
3.12
33.7
16.35
codellama/CodeLlama-70b-Instruct-hf
1.82
69
138
cmarkea/CodeLlama-70b-Instruct-hf-4bit
1.64
69
34.5
The impact of quantization is negligible.
Prompt Pattern
Here is a reminder of the command pattern to interact with the model:
Qwen2.5-Coder-7B-Instruct-4bit huggingface.co is an AI model on huggingface.co that provides Qwen2.5-Coder-7B-Instruct-4bit's model effect (), which can be used instantly with this cmarkea Qwen2.5-Coder-7B-Instruct-4bit model. huggingface.co supports a free trial of the Qwen2.5-Coder-7B-Instruct-4bit model, and also provides paid use of the Qwen2.5-Coder-7B-Instruct-4bit. Support call Qwen2.5-Coder-7B-Instruct-4bit model through api, including Node.js, Python, http.
Qwen2.5-Coder-7B-Instruct-4bit huggingface.co is an online trial and call api platform, which integrates Qwen2.5-Coder-7B-Instruct-4bit's modeling effects, including api services, and provides a free online trial of Qwen2.5-Coder-7B-Instruct-4bit, you can try Qwen2.5-Coder-7B-Instruct-4bit online for free by clicking the link below.
cmarkea Qwen2.5-Coder-7B-Instruct-4bit online free url in huggingface.co:
Qwen2.5-Coder-7B-Instruct-4bit is an open source model from GitHub that offers a free installation service, and any user can find Qwen2.5-Coder-7B-Instruct-4bit on GitHub to install. At the same time, huggingface.co provides the effect of Qwen2.5-Coder-7B-Instruct-4bit install, users can directly use Qwen2.5-Coder-7B-Instruct-4bit installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
Qwen2.5-Coder-7B-Instruct-4bit install url in huggingface.co: