4-bit Adapter Axolotl Base model:adapter:mistralai/m... Base model:mistralai/mistral-n... Bitsandbytes Dataset:alfitaria/bodinforg-co... Dataset:alfitaria/synthkink-co... Finetuned Generated from trainer Lora Mistral Peft Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/ToastyPigeon/nemo-kimi-lora
Nemo Kimi Lora 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)
Nemo Kimi Lora Parameters and Internals
| LLM Name | Nemo Kimi Lora |
| Repository 🤗 | https://huggingface.co/ToastyPigeon/nemo-kimi-lora |
| Base Model(s) | |
| Required VRAM | 1.8 GB |
| Updated | 2025-09-23 |
| Maintainer | ToastyPigeon |
| Model Files | |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|up_proj|k_proj|v_proj|gate_proj|down_proj|o_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.1 |
| R Param | 128 |
Best Alternatives to Nemo Kimi Lora
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Nemo Books Lora 4 | 0K / 1.8 GB | 7 | 0 |
| Nemo Books Lora | 0K / 1.8 GB | 10 | 0 |
| Phi 3 Mini 4K Instruct Sa V0.1 | 0K / 0 GB | 5 | 0 |
| Francois KTO Lora | 0K / 0 GB | 11 | 0 |
| Francois KTO Lora | 0K / 0 GB | 6 | 0 |
| Rei V2 Kto | 0K / 0 GB | 13 | 0 |
| ...caaaf043da230d9a30d8e0ddcbe879 | 0K / 0.4 GB | 11 | 0 |
| ...357cade9cc1096cecc35c34dba8992 | 0K / 1.3 GB | 10 | 0 |
| Rei V2 Kto | 0K / 0 GB | 5 | 0 |
| Reflection Model | 0K / 0.2 GB | 0 | 1 |
Rank the Nemo Kimi Lora Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124