Autotrain compatible Conversational Endpoints compatible Gguf Image-text-to-text Instruct Llava Llava mistral Q4 Quantized Region:us Sharded Tensorflow
Candle Llava V1.6 Mistral 7B 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)
Candle Llava V1.6 Mistral 7B Parameters and Internals
| LLM Name | Candle Llava V1.6 Mistral 7B |
| Repository 🤗 | https://huggingface.co/DanielClough/Candle_llava-v1.6-mistral-7b |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.1 GB |
| Updated | 2024-10-04 |
| Maintainer | DanielClough |
| Model Type | llava_mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | q4|gguf |
| Model Architecture | LlavaMistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Candle Llava V1.6 Mistral 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llava V1.6 Mistral 7B | 32K / 15.1 GB | 65725 | 219 |
| LLaVA NeXT Video 7B 32K | 32K / 15.1 GB | 3177 | 7 |
| Llava Mistral 7B Tokenizer | 32K / GB | 10 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_llava-v1.6-mistral-7b .
Rank the Candle Llava V1.6 Mistral 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803