Model Card on HF 🤗: https://huggingface.co/AlekseyElygin/Starling-LM-7B-beta-GGUF
Starling LM 7B Beta GGUF 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)
Starling LM 7B Beta GGUF Parameters and Internals
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| Additional Notes |
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| Supported Languages |
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| Training Details |
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| LLM Name | Starling LM 7B Beta GGUF |
| Repository 🤗 | https://huggingface.co/AlekseyElygin/Starling-LM-7B-beta-GGUF |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.4 GB |
| Updated | 2025-02-15 |
| Maintainer | AlekseyElygin |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Starling LM 7B Beta GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 17 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 1458944 | 79 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 1034279 | 11 |
| WizardLM 2 7B GGUF | 0K / 2.7 GB | 1321466 | 76 |
| Conversely Mistral 7B | 0K / 0.2 GB | 282 | 0 |
| Deepthink Reasoning 7B GGUF | 0K / 4.7 GB | 1341 | 11 |
| CleverBoi 7B V2 | 0K / 0.1 GB | 323 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 70462 | 9 |
| Neumind Math 7B Instruct GGUF | 0K / 4.7 GB | 274 | 9 |
| QwQ LCoT 7B Instruct GGUF | 0K / 4.7 GB | 187 | 9 |
Note: green Score (e.g. "73.2") means that the model is better than AlekseyElygin/Starling-LM-7B-beta-GGUF .
Rank the Starling LM 7B Beta GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227