4-bit Autotrain compatible Awq Base model:mlinmg/sg-raccoon-y... Base model:quantized:mlinmg/sg... Conversational Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/SG-Raccoon-Yi-200k-2.0-AWQ
SG Raccoon Yi 200K 2.0 AWQ 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)
SG Raccoon Yi 200K 2.0 AWQ Parameters and Internals
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| LLM Name | SG Raccoon Yi 200K 2.0 AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/SG-Raccoon-Yi-200k-2.0-AWQ |
| Model Name | SG Raccoon Yi 200K 2.0 |
| Model Creator | Marco Lironi |
| Base Model(s) | |
| Model Size | 8.2b |
| Required VRAM | 30.2 GB |
| Updated | 2025-02-22 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to SG Raccoon Yi 200K 2.0 AWQ
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Context / RAM |
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Likes |
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| Ko Pt Model Test1 | 8K / 16.4 GB | 2027 | 0 |
| Llama 3 Ko Luxia Instruct | 8K / 16.4 GB | 10 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SG-Raccoon-Yi-200k-2.0-AWQ .
Rank the SG Raccoon Yi 200K 2.0 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227