commit 34de81c2b9c49467bbd238c1e453368d40555c80 Author: ModelHub XC Date: Tue Sep 1 02:02:13 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: prithivMLmods/Basically-Human-4B-f32-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..53d7257 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,47 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs 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+library_name: transformers +pipeline_tag: text-generation +tags: +- text-generation-inference +--- + +# **Basically-Human-4B-f32-GGUF** + +> Basically-Human-4B is a 4 billion parameter language model based on the Qwen3 4B architecture, fine-tuned specifically for immersive and emotionally resonant roleplaying and character interaction. It excels in maintaining in-character consistency, crafting believable dialogue, and driving dynamic storytelling, making it ideal for text-based roleplay, NPC simulation, and interactive fiction applications. The model uses the ChatML instruction format to structure multi-turn conversations with clear role delineation. Basically-Human-4B was fine-tuned on a diverse set of instruction and roleplaying datasets, including various curated and cleaned instruction data from multiple sources. It offers GGUF quantized versions for ease of deployment while delivering compact yet capable performance in roleplay scenarios. + +## Model Files + +| File Name | Quant Type | File Size | +| - | - | - | +| Basically-Human-4B.BF16.gguf | BF16 | 8.05 GB | +| Basically-Human-4B.F16.gguf | F16 | 8.05 GB | +| Basically-Human-4B.F32.gguf | F32 | 16.1 GB | +| Basically-Human-4B.Q2_K.gguf | Q2_K | 1.67 GB | +| Basically-Human-4B.Q3_K_L.gguf | Q3_K_L | 2.24 GB | +| Basically-Human-4B.Q3_K_M.gguf | Q3_K_M | 2.08 GB | +| Basically-Human-4B.Q3_K_S.gguf | Q3_K_S | 1.89 GB | +| Basically-Human-4B.Q4_K_M.gguf | Q4_K_M | 2.5 GB | +| Basically-Human-4B.Q4_K_S.gguf | Q4_K_S | 2.38 GB | +| Basically-Human-4B.Q5_K_M.gguf | Q5_K_M | 2.89 GB | +| Basically-Human-4B.Q5_K_S.gguf | Q5_K_S | 2.82 GB | +| Basically-Human-4B.Q6_K.gguf | Q6_K | 3.31 GB | +| Basically-Human-4B.Q8_0.gguf | Q8_0 | 4.28 GB | + +## Quants Usage + +(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) + +Here is a handy graph by ikawrakow comparing some lower-quality quant +types (lower is better): + +![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..5d0c447 --- /dev/null +++ b/config.json @@ -0,0 +1,3 @@ +{ + "model_type": "qwen3" +} \ No newline at end of file diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file