Llama 2 7B Guanaco 8bit Sharded is an open-source language model by guardrail. Features: 7b LLM, VRAM: 7.1GB, Context: 2K, License: apache-2.0, Quantized, HF Score: 50.6, LLM Explorer Score: 0.11, Arc: 53.8, HellaSwag: 78.7, MMLU: 46.7, TruthfulQA: 43.9, WinoGrande: 72.6, GSM8K: 7.8.
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| Additional Notes |
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| Training Details |
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| LLM Name | Llama 2 7B Guanaco 8bit Sharded |
| Repository ๐ค | https://huggingface.co/guardrail/llama-2-7b-guanaco-8bit-sharded |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 7.1 GB |
| Updated | 2026-04-03 |
| Maintainer | guardrail |
| Model Type | llama |
| Model Files | |
| Quantization Type | 8bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.32.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives |
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Likes |
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| Smaugv0.1 6.0bpw H6 EXL2 | 195K / 26.4 GB | 2 | 4 |
| Smaugv0.1 5.0bpw H6 EXL2 | 195K / 22.3 GB | 4 | 3 |
| Smaugv0.1 3.0bpw H6 EXL2 | 195K / 13.9 GB | 4 | 1 |
| Smaugv0.1 4.0bpw H6 EXL2 | 195K / 18 GB | 3 | 1 |
| Smaugv0.1 4.65bpw H6 EXL2 | 195K / 20.8 GB | 3 | 1 |
| Smaugv0.1 8.0bpw H8 EXL2 | 195K / 34.9 GB | 3 | 1 |
| DeepSeek Prover V2 7B 4bit | 64K / 3.9 GB | 28 | 4 |
| Mistral 7B Openplatypus 1K | 32K / 29 GB | 1814 | 0 |
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| ...rnlm2 20B Llama 4.0bpw H6 EXL2 | 32K / 11 GB | 1 | 1 |
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