4-bit Axolotl Base model:adapter:model Bitsandbytes Conversational Dataset:delta-vector/orion-cre... Dataset:delta-vector/orion-ope... Dataset:delta-vector/orion-per... Dataset:delta-vector/orion-pip... Dataset:greenerpastures/allyou... Dataset:pocketdoc/dans-prosema... Dataset:pocketdoc/dans-prosema... Endpoints compatible Lora Mistral Peft Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/hardlyworking/MS32-3
MS32 3 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)
MS32 3 Parameters and Internals
| LLM Name | MS32 3 |
| Repository 🤗 | https://huggingface.co/hardlyworking/MS32-3 |
| Base Model(s) | |
| Required VRAM | 1.5 GB |
| Updated | 2025-09-20 |
| Maintainer | hardlyworking |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizerFast |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | up_proj|q_proj|k_proj|v_proj|down_proj|gate_proj|o_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0 |
| R Param | 64 |
Best Alternatives to MS32 3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Asdf | 0K / 0.1 GB | 14 | 0 |
| MS32 2 | 0K / 0.7 GB | 5 | 0 |
| Tinyllama Cpt | 0K / 0.5 GB | 6 | 0 |
| Fine Tune Sentimental Llama | 0K / 0 GB | 5 | 0 |
| VLM2Vec LoRA | 0K / 0 GB | 31 | 11 |
| QuietStar Project | 0K / GB | 8 | 2 |
| Finetuned Llava Lora | 0K / 0.1 GB | 5 | 0 |
| Alphace Email | 0K / 0.1 GB | 6 | 0 |
| Qwen7B Haiguitang | 0K / 15.3 GB | 5 | 0 |
| Modelv3 | 0K / 13.5 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than hardlyworking/MS32-3 .
Rank the MS32 3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124