Aixcoder 7B GPTQ 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 GPTQ Parameters and Internals
| LLM Name | Aixcoder 7B GPTQ |
| Repository 🤗 | https://huggingface.co/TechxGenus/aixcoder-7b-GPTQ |
| Model Size | 7b |
| Required VRAM | 4.5 GB |
| Updated | 2024-09-07 |
| Maintainer | TechxGenus |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 49152 |
| Torch Data Type | float16 |
Best Alternatives to Aixcoder 7B GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yarn Llama 2 7B 128K GPTQ | 128K / 3.9 GB | 15 | 7 |
| Yarn Llama 2 7B 64K GPTQ | 64K / 3.9 GB | 14 | 1 |
| ... 7B 32K Instructions V4 Marlin | 32K / 4.1 GB | 19 | 0 |
| ...Calm2 7B Chat GPTQ Calib Ja 1K | 32K / 4.4 GB | 90 | 5 |
| Calm2 7B Chat GPTQ | 32K / 4.4 GB | 14 | 6 |
| Llama 2 7B 32K Instruct GPTQ | 32K / 3.9 GB | 19 | 27 |
| CodeLlama 7B Instruct GPTQ | 16K / 3.9 GB | 144636 | 43 |
| Codebear 7B 4bit | 16K / 3.9 GB | 4 | 1 |
| ...a 7B Instruct GPTQ Calib Ja 1K | 16K / 3.9 GB | 47 | 0 |
| Pandalyst 7B V1.2 GPTQ | 16K / 3.9 GB | 9 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/aixcoder-7b-GPTQ .
Rank the Aixcoder 7B GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803