Autotrain compatible Conversational Endpoints compatible Instruct License:apache-2.0 Medusa Mistral Pytorch Region:us Sharded
Rank the Medusa2 Mistral 7B Instruct V0.2 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
Best Alternatives to Medusa2 Mistral 7B Instruct V0.2
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| ... Summarize 64K QLoRANET Merged | — | 128K / 4.1 GB | 17 | 0 |
| ...1 Summarize 64K LoRANET Merged | — | 128K / 14.4 GB | 459 | 0 |
| ...0.2 Neuron 1x2048 2 Cores 2.18 | — | 32K / GB | 1 | 1 |
| ...uct V0.2 Neuron 1x2048 2 Cores | — | 32K / GB | 1 | 1 |
| Mistral 7B Instruct V0.1 | — | 32K / GB | 97 | 0 |
| ... V0.2 Seqlen 2048 Bs 1 Cores 2 | — | 32K / GB | 68 | 0 |
| ...uct V0.1 Neuron 1x2048 2 Cores | — | 32K / GB | 8 | 0 |
| Mistral Neuron | — | 32K / GB | 7 | 0 |
| ...stral 7B Instruct V0.2 Ov Int4 | — | 32K / 0 GB | 5 | 0 |
| Sq Mistral 7B Instruct W3 S0 | — | 32K / 3.2 GB | 3 | 1 |
Medusa2 Mistral 7B Instruct V0.2 Parameters and Internals
| LLM Name | Medusa2 Mistral 7B Instruct V0.2 |
| Repository | Open on 🤗 |
| Model Size | 7b |
| Required VRAM | 15.9 GB |
| Updated | 2024-07-01 |
| Maintainer | EmbeddedLLM |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Initializer Range | 0.02 |
| Torch Data Type | float16 |
What open-source LLMs or SLMs are you in search of? 34238 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801