Arxiv:1910.09700 Autotrain compatible Conversational Dataset:mintaeng/llm futsaldat... Endpoints compatible Lora Mistral Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/mintaeng/zephyr_mj_7b_v1
Zephyr Mj 7b V1 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)
Zephyr Mj 7B V1 Parameters and Internals
| LLM Name | Zephyr Mj 7b V1 |
| Repository 🤗 | https://huggingface.co/mintaeng/zephyr_mj_7b_v1 |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2025-02-22 |
| Maintainer | mintaeng |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | mit |
| Model Max Length | 32768 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|k_proj|o_proj|gate_proj|down_proj|v_proj|up_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0.05 |
| R Param | 32 |
Best Alternatives to Zephyr Mj 7B V1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 566357 | 1388 |
| Mistral 7B V0.3 | 32K / 14.5 GB | 179293 | 438 |
| Mistral 7B V0.3 | 32K / 14.5 GB | 4736 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 4052 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 1045 | 3 |
| ...unoichi Lemon Royale V3 32K 7B | 32K / 14.5 GB | 26 | 4 |
| Mistralai Mistral 7B V0.3 | 32K / 14.5 GB | 25 | 3 |
| ...ralai Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 27 | 1 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 5 | 0 |
| Mistral 7B V0.2 | 32K / 14.5 GB | 20 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than mintaeng/zephyr_mj_7b_v1 .
Rank the Zephyr Mj 7B V1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227