Autotrain compatible Base model:01-ai/yi-1.5-6b-cha... Base model:quantized:01-ai/yi-... Conversational Gguf Llama Q2 Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/second-state/Yi-1.5-6B-Chat-GGUF
Yi 1.5 6B Chat 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)
Yi 1.5 6B Chat GGUF Parameters and Internals
| Model Type |
|
| LLM Name | Yi 1.5 6B Chat GGUF |
| Repository 🤗 | https://huggingface.co/second-state/Yi-1.5-6B-Chat-GGUF |
| Model Name | Yi-1.5-6B-Chat |
| Model Creator | 01-ai |
| Base Model(s) | |
| Model Size | 6b |
| Required VRAM | 2.3 GB |
| Updated | 2025-03-12 |
| Maintainer | second-state |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q2|q4_k|q5_k |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.0 |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Yi 1.5 6B Chat GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| NSFW 6B | 8K / 11.7 GB | 39460 | 32 |
| HELVETE | 8K / 11.7 GB | 253 | 35 |
| HelpingAI2 6B | 8K / 11.7 GB | 60 | 4 |
| HelpingAI2 6B | 8K / 11.7 GB | 30 | 3 |
| Yi 1.5 6B Chat GGUF | 4K / 2.3 GB | 147 | 1 |
| Yi 1.5 6B Chat IMat GGUF | 4K / 1.4 GB | 86 | 0 |
| Yi 6B Chat GGUF | 4K / 2.3 GB | 268 | 0 |
| ...i 6B 200K AEZAKMI V2 6bpw EXL2 | 195K / 4.9 GB | 14 | 3 |
| Yi 6B 200K 6.0bpw H6 EXL2 | 195K / 4.9 GB | 14 | 1 |
| Yi 6B 200K 8.0bpw H8 EXL2 | 195K / 6.3 GB | 13 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than second-state/Yi-1.5-6B-Chat-GGUF .
Rank the Yi 1.5 6B Chat GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227