Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Gguf Lora Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/codingwithlewis/mistralmeme
Mistralmeme 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)
Mistralmeme Parameters and Internals
| LLM Name | Mistralmeme |
| Repository 🤗 | https://huggingface.co/codingwithlewis/mistralmeme |
| Model Size | 7.2b |
| Required VRAM | 14.4 GB |
| Updated | 2025-10-14 |
| Maintainer | codingwithlewis |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | o_proj|q_proj|gate_proj|up_proj|down_proj|v_proj|k_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0 |
| R Param | 32 |
Best Alternatives to Mistralmeme
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral7b V0.3 Alpaca Cleaned | 0K / 14.5 GB | 9 | 0 |
| My Mistral Seekh Qna | 0K / 28.9 GB | 31 | 0 |
| Cosmic 2 | 0K / 14.4 GB | 7 | 1 |
| Zephyr Tuning V1 | 0K / 14.4 GB | 1747 | 0 |
| Spydaz Web AI 025 | 0K / 14.4 GB | 44 | 0 |
| Small Fut Final | 0K / 14.4 GB | 8 | 1 |
| Last Model Too Long Time | 0K / 14.4 GB | 8 | 1 |
| Big Fut Final | 0K / 14.4 GB | 5 | 1 |
| DummySFT | 0K / 28.9 GB | 7 | 0 |
| Ethicalsft | 0K / 28.9 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than codingwithlewis/mistralmeme .
Rank the Mistralmeme Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124