Model Card on HF 🤗: https://huggingface.co/llm-stacking/G_random_width
G Random Width 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)
G Random Width Parameters and Internals
| LLM Name | G Random Width |
| Repository 🤗 | https://huggingface.co/llm-stacking/G_random_width |
| Required VRAM | 5.5 GB |
| Updated | 2025-02-22 |
| Maintainer | llm-stacking |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to G Random Width
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LWM Text 512K | 512K / 13.5 GB | 10 | 2 |
| LWM Text Chat 512K | 512K / 13.5 GB | 6 | 2 |
| LWM Text 256K | 256K / 13.5 GB | 26 | 3 |
| LWM Text Chat 256K | 256K / 13.5 GB | 21 | 3 |
| Pallas 0.5 LASER 0.1 | 195K / 68.9 GB | 1991 | 2 |
| Ashley3b X 1.2 | 128K / 6.5 GB | 25 | 0 |
| Ashley3b X 1.3 | 128K / 6.5 GB | 14 | 0 |
| Cyber13 | 128K / 16.1 GB | 5 | 0 |
| Cyber8 | 128K / 16.1 GB | 5 | 0 |
| LWM Text Chat 128K | 128K / 13.5 GB | 41 | 20 |
Note: green Score (e.g. "73.2") means that the model is better than llm-stacking/G_random_width .
Rank the G Random Width Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227