Autotrain compatible Base model:chihoonlee10/t3q-mi... Base model:neuralnovel/mistral... Base model:open-orca/mistral-7... Base model:s-miguel/the-trinit... Chihoonlee10/t3q-mistral-orca-... Codegen Conversational Endpoints compatible Frankenmoe Instruct Lazymergekit License:apache-2.0 Merge Mergekit Mixtral Moe Neuralnovel/mistral-7b-instruc... Open-orca/mistral-7b-openorca Region:us S-miguel/the-trinity-coder-7b Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/jambroz/sixtyoneeighty-4x7B-v2
Sixtyoneeighty 4x7B V2 Parameters and Internals
| Model Type |
|
| LLM Name | Sixtyoneeighty 4x7B V2 |
| Repository 🤗 | https://huggingface.co/jambroz/sixtyoneeighty-4x7B-v2 |
| Base Model(s) | |
| Model Size | 24.2b |
| Required VRAM | 48.3 GB |
| Updated | 2024-07-04 |
| Maintainer | jambroz |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to Sixtyoneeighty 4x7B V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Sixtyoneeighty 4x7B V1 | 32K / 48.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than jambroz/sixtyoneeighty-4x7B-v2 .
Rank the Sixtyoneeighty 4x7B V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124