Homer 7B V0.1 Benchmarks
MMLU Pro: 38.61
GPQA: 9.96
MUSR: 12.8
BBH: 37.31
IFEval: 61.09 vs 88 (so35)-30.6%
MATH Lvl 5: 28.25
LLME Score: 0.3747
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)
Homer 7B V0.1 Parameters and Internals
| LLM Name | Homer 7B V0.1 |
| Repository 🤗 | https://huggingface.co/newsbang/Homer-7B-v0.1 |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2024-11-21 |
| Maintainer | newsbang |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Homer 7B V0.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B | 128K / 15.4 GB | 70938 | 68 |
| Lexora Medium 7B | 128K / 15.2 GB | 13303 | 5 |
| Qwen2 7B | 128K / 15.4 GB | 34985 | 137 |
| Gte Qwen2 7B Instruct | 128K / 30.5 GB | 37719 | 217 |
| SeaLLMs V3 7B Chat | 128K / 15.2 GB | 6429 | 44 |
| Qwen2 7B Instruct V0.1 | 128K / 15.2 GB | 40968 | 1 |
| Einstein V7 Qwen2 7B | 128K / 15.2 GB | 4596 | 35 |
| Qwen2 7B Instruct V0.8 | 128K / 15.2 GB | 40990 | 3 |
| ...nity Instruct 3M 0625 Qwen2 7B | 128K / 15.2 GB | 4920 | 8 |
| Samantha Qwen 2 7B | 128K / 15.2 GB | 4882 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than newsbang/Homer-7B-v0.1 .
Rank the Homer 7B V0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110