SFR Embedding Mistral AWQ is an open-source language model by tarob0ba. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, Quantized, LLM Explorer Score: 0.12.
| LLM Name | SFR Embedding Mistral AWQ |
| Repository 🤗 | https://huggingface.co/tarob0ba/SFR-Embedding-Mistral-AWQ |
| Model Size | 1.2b |
| Required VRAM | 4.2 GB |
| Updated | 2024-12-26 |
| Maintainer | tarob0ba |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Quantized Kheopss AWQ 4bits V1 | 32K / 4.2 GB | 17 | 0 |
| MistralLite AWQ | 32K / 4.2 GB | 42 | 3 |
| Yugo55A GPT AWQ | 32K / 4.2 GB | 6 | 0 |
| Openchat 3.5 16K AWQ | 32K / 4.2 GB | 3 | 1 |
| Openchat 3.5 0106 AWQ | 8K / 4.2 GB | 3 | 1 |
| Hare1.0 Beta | 32K / 2.4 GB | 50 | 1 |
| Mistralmawq | 32K / 4.2 GB | 14 | 0 |
| ... Finetune 16bit Ver9 Main GPTQ | 32K / 4.2 GB | 6 | 0 |
| Turdus GPTQ | 32K / 4.2 GB | 8 | 5 |