MegaBeam Mistral 7B 512K 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)
MegaBeam Mistral 7B 512K Parameters and Internals
| LLM Name | MegaBeam Mistral 7B 512K |
| Repository 🤗 | https://huggingface.co/aws-prototyping/MegaBeam-Mistral-7B-512k |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-09-16 |
| Maintainer | aws-prototyping |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 524288 |
| Model Max Length | 524288 |
| Transformers Version | 4.43.3 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to MegaBeam Mistral 7B 512K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 179 | 5 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 21 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 218 | 15 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 2707 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 5 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 5 | 0 |
| Test001 | 128K / 14.5 GB | 5 | 0 |
| Test002 | 128K / 29 GB | 16 | 0 |
| Buddhi 128K Chat 7B | 128K / 14.4 GB | 150 | 15 |
| LuminRP 7B 128K V0.2 | 128K / 14.4 GB | 5 | 0 |
Rank the MegaBeam Mistral 7B 512K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803