4-bit Autotrain compatible Awq Axolotl Base model:quantized:weyaxi/ei... Base model:weyaxi/einstein-v6.... Biology Chatml Chemistry Conversational Dataset:allenai/ai2 arc Dataset:allenai/wildchat Dataset:bigbio/med qa Dataset:camel-ai/biology Dataset:camel-ai/chemistry Dataset:camel-ai/math Dataset:camel-ai/physics Dataset:cot-alpaca-gpt4-from-o... Dataset:derek-thomas/scienceqa Dataset:huggingfaceh4/no robot... Dataset:jondurbin/airoboros-3.... Dataset:knowrohit07/saraswati-... Dataset:ldjnr/capybara Dataset:lmsys/lmsys-chat-1m Dataset:m-a-p/codefeedback-fil... Dataset:mandyyyyii/scibench Dataset:meta-math/metamathqa-4... Dataset:metaeval/reclor Dataset:microsoft/orca-math-wo... Dataset:migtissera/synthia-v1.... Dataset:open-orca/slimorca Dataset:openassistant/oasst to... Dataset:openbookqa Dataset:openchat/openchat shar... Dataset:piqa Dataset:sablo/oasst2 curated Dataset:scibench Dataset:sciq Dataset:stem-ai-mtl/electrical... Dataset:teknium/gpteacher-gene... Dataset:tiger-lab/mathinstruct Dataset:tiger-lab/scienceeval Dataset:totally-not-an-llm/eve... Dataset:wizardlm/wizardlm evol... En Endpoints compatible Finetuned Generated from trainer Gpt4 Instruct Llama Llama3 Math Physics Quantized Region:us Safetensors Science Sharded Synthetic data Tensorflow
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
| 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 | 2024-09-08 |
| 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 |
|---|---|---|---|
| ...radient 1048K AWQ 4bit Smashed | 1024K / 5.8 GB | 15188 | 1 |
| ...8B Instruct Gradient 1048K AWQ | 1024K / 5.8 GB | 6 | 0 |
| ...Instruct 262K AWQ 4bit Smashed | 256K / 5.8 GB | 7 | 4 |
| ...ta Llama 3 8B Instruct 64K AWQ | 64K / 5.8 GB | 6 | 0 |
| ... Instruct 8B 32K V0.1 4bit AWQ | 64K / 5.8 GB | 19 | 0 |
| Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 28539 | 20 |
| ...eta Llama 3 8B Instruct Hf AWQ | 8K / 5.8 GB | 3877 | 8 |
| Dorna Llama3 8B Instruct AWQ | 8K / 5.8 GB | 1855 | 1 |
| ...3 SauerkrautLM 8B Instruct AWQ | 8K / 5.7 GB | 3395 | 1 |
| Meta Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 582 | 3 |
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 v2024072803