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Model Card on HF 🤗: https://huggingface.co/solidrust/Einstein-v6.1-Llama3-8B-AWQ
Einstein V6.1 Llama3 8B 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)
Einstein V6.1 Llama3 8B AWQ Parameters and Internals
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| Additional Notes |
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| Training Details |
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| LLM Name | Einstein V6.1 Llama3 8B AWQ |
| Repository 🤗 | https://huggingface.co/solidrust/Einstein-v6.1-Llama3-8B-AWQ |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 5.8 GB |
| Updated | 2025-02-22 |
| Maintainer | solidrust |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128260 |
| Torch Data Type | float16 |
Best Alternatives to Einstein V6.1 Llama3 8B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...8B Instruct Gradient 1048K AWQ | 1024K / 5.8 GB | 81 | 0 |
| ...radient 1048K AWQ 4bit Smashed | 1024K / 5.8 GB | 86 | 1 |
| ...Instruct 262K AWQ 4bit Smashed | 256K / 5.8 GB | 22 | 4 |
| ...ta Llama 3 8B Instruct 64K AWQ | 64K / 5.8 GB | 79 | 0 |
| ... Instruct 8B 32K V0.1 4bit AWQ | 64K / 5.8 GB | 84 | 0 |
| Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 10447 | 22 |
| Meta Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 752 | 5 |
| Meta Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 79 | 0 |
| Meta Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 80 | 0 |
| ...eta Llama 3 8B Instruct Hf AWQ | 8K / 5.8 GB | 428 | 8 |
Note: green Score (e.g. "73.2") means that the model is better than solidrust/Einstein-v6.1-Llama3-8B-AWQ .
Rank the Einstein V6.1 Llama3 8B AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227