4-bit Autotrain compatible Base model:mlinmg/sg-raccoon-y... Base model:quantized:mlinmg/sg... Conversational Gptq Llama Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/SG-Raccoon-Yi-200k-2.0-GPTQ
SG Raccoon Yi 200K 2.0 GPTQ 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 GPTQ Parameters and Internals
| Model Type |
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| Supported Languages |
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| Input Output |
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| LLM Name | SG Raccoon Yi 200K 2.0 GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/SG-Raccoon-Yi-200k-2.0-GPTQ |
| Model Name | SG Raccoon Yi 200K 2.0 |
| Model Creator | Marco Lironi |
| Base Model(s) | |
| Model Size | 7.8b |
| Required VRAM | 29.2 GB |
| Updated | 2025-09-23 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| 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 GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...NE 3.5 7.8B Instruct Llamafied | 32K / 15.6 GB | 1053 | 5 |
| ...3.0 7.8B Instruct Llamafied 8K | 8K / 31.2 GB | 6 | 6 |
| Fundacional 100percent | 8K / 15.6 GB | 53 | 0 |
| Exaone 3.0 7.8B It | 4K / 15.6 GB | 2462 | 7 |
| ...NE 3.0 7.8B Instruct Converted | 4K / 31.2 GB | 7 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SG-Raccoon-Yi-200k-2.0-GPTQ .
Rank the SG Raccoon Yi 200K 2.0 GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124