Model Card on HF 🤗: https://huggingface.co/aiXcoder/aixcoder-7b-base
Aixcoder 7B Base Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Aixcoder 7B Base Parameters and Internals
| Supported Languages |
| |||
| Training Details |
| |||
| Input Output |
|
| LLM Name | Aixcoder 7B Base |
| Repository 🤗 | https://huggingface.co/aiXcoder/aixcoder-7b-base |
| Model Size | 7b |
| Required VRAM | 14.9 GB |
| Updated | 2025-03-14 |
| Maintainer | aiXcoder |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 49152 |
| Torch Data Type | bfloat16 |
Best Alternatives to Aixcoder 7B Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| A6 L | 1024K / 16.1 GB | 201 | 0 |
| M | 1024K / 16.1 GB | 127 | 0 |
| 157 | 1024K / 16.1 GB | 101 | 0 |
| 124 | 1024K / 16.1 GB | 93 | 0 |
| 162 | 1024K / 16.1 GB | 60 | 0 |
| 2 Very Sci Fi | 1024K / 16.1 GB | 317 | 0 |
| 118 | 1024K / 16.1 GB | 15 | 0 |
| ...1M 1000000ctx AEZAKMI 3 1 1702 | 1024K / 13.5 GB | 13 | 1 |
| ... Qwen2.5llamaify 7B V23.1 200K | 195K / 15.2 GB | 2023 | 3 |
| LlamaStock 8B | 128K / 16.1 GB | 14 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than aiXcoder/aixcoder-7b-base .
Rank the Aixcoder 7B Base Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 45019 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227