Autotrain compatible Dataset:yingyueli/vpqa En Endpoints compatible Instruct Llava llama Lora Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/yingyueli/metacoder_llava-v1.5-7b
Metacoder Llava V1.5 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)
Metacoder Llava V1.5 7B Parameters and Internals
| LLM Name | Metacoder Llava V1.5 7B |
| Repository 🤗 | https://huggingface.co/yingyueli/metacoder_llava-v1.5-7b |
| Model Size | 7b |
| Required VRAM | 14.1 GB |
| Updated | 2025-02-05 |
| Maintainer | yingyueli |
| Model Files | |
| Supported Languages | en |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 2048 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|up_proj|o_proj|k_proj|gate_proj|q_proj|down_proj |
| LoRA Alpha | 256 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
Best Alternatives to Metacoder Llava V1.5 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 1656310 | 1305 |
| Mistral 7B V0.3 | 32K / 14.5 GB | 1323773 | 425 |
| Mistral 7B V0.3 | 32K / 14.5 GB | 5881 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 5399 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 564 | 3 |
| ...unoichi Lemon Royale V3 32K 7B | 32K / 14.5 GB | 71 | 4 |
| Mistralai Mistral 7B V0.3 | 32K / 14.5 GB | 69 | 3 |
| ...ralai Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 23 | 1 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 5 | 0 |
| Mistral 7B V0.2 | 32K / 14.5 GB | 56 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than yingyueli/metacoder_llava-v1.5-7b .
Rank the Metacoder Llava V1.5 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227