Testing6000v2 is an open-source language model by usagent100. Features: 7b LLM, VRAM: 15.1GB, LLM Explorer Score: 0.14.
Model Card on HF 🤗: https://huggingface.co/usagent100/testing6000v2
Testing6000v2 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)
Testing6000v2 Parameters and Internals
| LLM Name | Testing6000v2 |
| Repository 🤗 | https://huggingface.co/usagent100/testing6000v2 |
| Model Size | 7b |
| Required VRAM | 15.1 GB |
| Updated | 2026-05-14 |
| Maintainer | usagent100 |
| Model Type | RefinedWebModel |
| Model Files | |
| Model Architecture | RWForCausalLM |
| Model Max Length | 2048 |
| Transformers Version | 4.30.2 |
| Is Biased | 0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 65024 |
| Torch Data Type | float16 |
Best Alternatives to Testing6000v2
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| Aguila Falcon InstruCATPlus | 2K / 13.7 GB | 10 | 0 |
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| Falcon Aguila Meteocatv2 | 2K / 13.7 GB | 6 | 0 |
| Aguila 7B | 2K / 13.7 GB | 1073 | 65 |
| Falcon Aguila Meteocat | 2K / 13.7 GB | 22 | 0 |
| Ct2 Int8 Falcon 7B Instruct | 0K / GB | 7 | 0 |
| ...ce Falcon 7b Sharded Quantized | 0K / 13.8 GB | 9 | 3 |
| ...ce Falcon 7b Sharded Quantized | 0K / 13.8 GB | 5 | 1 |
| Falcoder 7B | 0K / 13.8 GB | 805 | 89 |
| Falcon 7b Python Instructions | 0K / 13.8 GB | 17 | 1 |
Rank the Testing6000v2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a