Model Card on HF 🤗: https://huggingface.co/Norquinal/DeciLM-7B-claude-chat
DeciLM 7B Claude Chat 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)
DeciLM 7B Claude Chat Parameters and Internals
| LLM Name | DeciLM 7B Claude Chat |
| Repository 🤗 | https://huggingface.co/Norquinal/DeciLM-7B-claude-chat |
| Model Size | 7b |
| Required VRAM | 14.1 GB |
| Updated | 2025-09-15 |
| Maintainer | Norquinal |
| Model Type | deci_lm |
| Model Files | |
| Model Architecture | DeciLMForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.36.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to DeciLM 7B Claude Chat
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| DeciLM 7B Instruct 128K | 128K / 14.1 GB | 5 | 3 |
| DeciLM 7B Instruct 32K | 32K / 14.1 GB | 4 | 3 |
| DeciLM 7B | 8K / 14.1 GB | 5476 | 225 |
| DeciLM 7B Instruct | 8K / 14.1 GB | 2445 | 95 |
| DeciLM Base ChatTuned Blogv0.2 | 8K / 14.1 GB | 5 | 1 |
| M12 | 8K / 14.1 GB | 6 | 0 |
| M11 | 8K / 14.1 GB | 7 | 0 |
| M10 | 8K / 14.1 GB | 7 | 0 |
| M9 | 8K / 14.1 GB | 9 | 0 |
| M8 | 8K / 14.1 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Norquinal/DeciLM-7B-claude-chat .
Rank the DeciLM 7B Claude Chat Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124