Arxiv:2403.04652 01-ai Autotrain compatible Base model:01-ai/yi-1.5-6b-cha... Base model:quantized:01-ai/yi-... Chatml Conversational Endpoints compatible Finetuned Gguf Imatrix Importance matrix Instruct Llama Q4 Quantized Region:us Yi
Yi 1.5 6B Chat IMat 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 IMat GGUF Parameters and Internals
| LLM Name | Yi 1.5 6B Chat IMat GGUF |
| Repository 🤗 | https://huggingface.co/qwp4w3hyb/Yi-1.5-6B-Chat-iMat-GGUF |
| Base Model(s) | |
| Model Size | 6b |
| Required VRAM | 1.4 GB |
| Updated | 2024-09-07 |
| Maintainer | qwp4w3hyb |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q4|q4_k|q5_k |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Yi 1.5 6B Chat IMat GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| HelpingAI2 6B | 8K / 11.7 GB | 69 | 3 |
| Yi 1.5 6B Chat GGUF | 4K / 2.3 GB | 309 | 4 |
| Yi 6B Chat GGUF | 4K / 2.3 GB | 4503 | 0 |
| Yi 1.5 6B Chat GGUF | 4K / 2.3 GB | 117 | 1 |
| ...i 6B 200K AEZAKMI V2 6bpw EXL2 | 195K / 4.9 GB | 6 | 3 |
| Yi 6B 200K 8.0bpw H8 EXL2 | 195K / 6.3 GB | 14 | 1 |
| Yi 6B 200K 6.0bpw H6 EXL2 | 195K / 4.9 GB | 13 | 1 |
| ...ma Llama 3 6B V0.1 2 2bpw EXL2 | 8K / 2.9 GB | 6 | 0 |
| Yi 1.5 6B Bnb 4bit | 4K / 3.9 GB | 134 | 2 |
| Docllm Yi 6B | 4K / 13.5 GB | 84 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than qwp4w3hyb/Yi-1.5-6B-Chat-iMat-GGUF .
Rank the Yi 1.5 6B Chat IMat GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803