Retrico Lm 4B Finetuned V4 is an open-source language model by knowledgator. Features: 4b LLM, Context: 256K, Fine-Tuned.
Model Card on HF 🤗: https://huggingface.co/knowledgator/retrico-lm-4b-finetuned-v4
Retrico Lm 4B Finetuned V4 Parameters and Internals
| LLM Name | Retrico Lm 4B Finetuned V4 |
| Repository 🤗 | https://huggingface.co/knowledgator/retrico-lm-4b-finetuned-v4 |
| Model Size | 4b |
| Required VRAM | 0 GB |
| Updated | 2026-05-06 |
| Maintainer | knowledgator |
| Model Type | qwen3_5_text |
| Model Files | |
| Model Architecture | Qwen3_5ForCausalLM |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 5.5.0 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 248077 |
| Errors | replace |
Best Alternatives to Retrico Lm 4B Finetuned V4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3.5 4B Code Forged | 256K / 8.4 GB | 3019 | 0 |
| Qwen3.5 4B INT8 | 256K / 4.8 GB | 60 | 2 |
| VYOM 4B | 256K / 8.4 GB | 442 | 1 |
| Mind Mem 4B | 256K / 8.4 GB | 534 | 1 |
| Distil Qwen35 4B | 256K / 8.4 GB | 222 | 2 |
| Zira Researcher | 256K / 8.4 GB | 155 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than knowledgator/retrico-lm-4b-finetuned-v4 .
Rank the Retrico Lm 4B Finetuned V4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a