Base model:quantized:tokyotech... Base model:tokyotech-llm/swall... En Gguf Ja Llama Quantized Region:us
Swallow 7B 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)
Swallow 7B GGUF Parameters and Internals
| LLM Name | Swallow 7B GGUF |
| Repository 🤗 | https://huggingface.co/TheBloke/Swallow-7B-GGUF |
| Model Name | Swallow 7B |
| Model Creator | tokyotech-llm |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 2.9 GB |
| Updated | 2024-09-19 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| Supported Languages | en ja |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | llama2 |
Best Alternatives to Swallow 7B GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 25 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 296229 | 58 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 76578 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 189058 | 380 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Qwen2 7B Instruct V0.1 GGUF | 0K / 4.5 GB | 9714 | 0 |
| Qwen2 7B Instruct V0.7 GGUF | 0K / 4.5 GB | 9530 | 0 |
| Qwen2 7B Instruct V0.3 GGUF | 0K / 4.5 GB | 8911 | 1 |
| Qwen2 7B Instruct V0.2 GGUF | 0K / 4.5 GB | 7986 | 0 |
| Qwen2 7B Instruct V0.8 GGUF | 0K / 4.5 GB | 6155 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Swallow-7B-GGUF .
Rank the Swallow 7B GGUF Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 36026 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803