From 34de81c2b9c49467bbd238c1e453368d40555c80 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Tue, 1 Sep 2026 02:02:13 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: prithivMLmods/Basically-Human-4B-f32-GGUF Source: Original Platform --- .gitattributes | 47 ++++++++++++++++++++++++++++++++++ Basically-Human-4B.BF16.gguf | 3 +++ Basically-Human-4B.F16.gguf | 3 +++ Basically-Human-4B.F32.gguf | 3 +++ Basically-Human-4B.Q2_K.gguf | 3 +++ Basically-Human-4B.Q3_K_L.gguf | 3 +++ Basically-Human-4B.Q3_K_M.gguf | 3 +++ Basically-Human-4B.Q3_K_S.gguf | 3 +++ Basically-Human-4B.Q4_K_M.gguf | 3 +++ Basically-Human-4B.Q4_K_S.gguf | 3 +++ Basically-Human-4B.Q5_K_M.gguf | 3 +++ Basically-Human-4B.Q5_K_S.gguf | 3 +++ Basically-Human-4B.Q6_K.gguf | 3 +++ 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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