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Model Card on HF 🤗: https://huggingface.co/InferenceIllusionist/MilkDropLM-7b-v0.3
MilkDropLM 7B V0.3 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)
MilkDropLM 7B V0.3 Parameters and Internals
| LLM Name | MilkDropLM 7B V0.3 |
| Repository 🤗 | https://huggingface.co/InferenceIllusionist/MilkDropLM-7b-v0.3 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-03-24 |
| Maintainer | InferenceIllusionist |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to MilkDropLM 7B V0.3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Rebase | 986K / 15.2 GB | 11 | 2 |
| StockQwen 2.5 7B | 128K / 15.2 GB | 16 | 3 |
| OlympicCoder 7B | 32K / 15.2 GB | 4734 | 145 |
| Qwen2.5 Coder 7B Instruct | 32K / 15.2 GB | 219948 | 445 |
| Viper Coder HybridMini V1.3 | 32K / 15.2 GB | 976 | 6 |
| Qwen2.5 7B MS Destroyer | 32K / 15.2 GB | 172 | 1 |
| Qwen2.5 MFANN 7B SLERP V1.2 | 32K / 14.8 GB | 1485 | 0 |
| ...oder Qwen2.5 Coder 7B Ins Rule | 32K / 59 GB | 28 | 0 |
| Qwen2.5 MFANN 7B SLERPv1.1 | 32K / 15.2 GB | 30 | 0 |
| Qwen2.5 7B MFANN Slerp | 32K / 15.2 GB | 20 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than InferenceIllusionist/MilkDropLM-7b-v0.3 .
Rank the MilkDropLM 7B V0.3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227