CT LLM 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)
CT LLM Base Parameters and Internals
| LLM Name | CT LLM Base |
| Repository 🤗 | https://huggingface.co/m-a-p/CT-LLM-Base |
| Model Size | 2.1b |
| Required VRAM | 4.3 GB |
| Updated | 2024-10-18 |
| Maintainer | m-a-p |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | BaichuanTokenizer |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 125824 |
| Torch Data Type | float16 |
Best Alternatives to CT LLM Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3 Orpo V9.4 | 4K / 2.3 GB | 8 | 1 |
| CT LLM SFT DPO | 4K / 0 GB | 14 | 5 |
| CT LLM SFT | 4K / 0 GB | 32 | 1 |
| Phi 3.5 Mini Instruct Bnb 4bit | 128K / 2.3 GB | 81499 | 9 |
| ...penbuddy Llama2 13b64k V15 AWQ | 64K / 7.4 GB | 8 | 1 |
| ...enbuddy Llama2 13b64k V15 GPTQ | 64K / 7.4 GB | 13 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than m-a-p/CT-LLM-Base .
Rank the CT LLM Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803