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Model: ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF
Source: Original Platform

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LICENSE

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+
+ MIT License
+
+Copyright (c) 2025 Hayk Grigorian 
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+base_model: haykgrigorian/TimeCapsuleLLM-v2-llama-1.2B
+language:
+- en
+library_name: transformers
+license: mit
+datasets:
+- postgrammar/london-llm-1800
+quantized_by: ncky
+tags:
+- text-generation-inference
+- transformers
+- llama
+- gguf
+- historical
+---
+## About
+
+static and imatrix-assisted GGUF quants of https://huggingface.co/haykgrigorian/TimeCapsuleLLM-v2-llama-1.2B.
+
+Generated with `llama.cpp` build `8044` (`91ea5d67f`).
+
+`IQ4_XS` was quantized with an imatrix generated on 19th-century public-domain English text.
+
+Note: this model has FFN dimensions (`5504`) not divisible by `256`, so `llama.cpp` applied fallback quantization to 22 tensors for K/IQ quant types.
+
+## Base Model Info (from original model card)
+
+Source: https://huggingface.co/haykgrigorian/TimeCapsuleLLM-v2-llama-1.2B
+
+| Detail | Value |
+| :--- | :--- |
+| Model Architecture | LlamaForCausalLM (decoder-only transformer) |
+| Parameter Count | ~1.22B |
+| Training Type | Trained from scratch (random initialization) |
+| Tokenizer | Custom BPE, vocab size 32,000 |
+| Sequence Length | 2048 |
+| Attention Type | Grouped Query Attention (16 Q heads / 8 KV heads) |
+| Hidden Size | 2048 |
+| Intermediate Size | 5504 |
+| Layers | 22 |
+
+Training details reported by the source model card:
+- Final training loss: 3.3951
+- Start training loss: 10.7932
+- Training steps: 182,000
+- Epochs: 0.4997
+- Training time: 117h 51m
+- Reported training cost: $340.97 on an H100 SXM (RunPod)
+
+## Usage
+
+If you are unsure how to use GGUF files, refer to one of [TheBloke's
+READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
+more details.
+
+## Provided Quants
+
+(sorted by size, not necessarily quality)
+
+| Link | Type | Size/GB | Notes |
+|:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.Q2_K.gguf) | Q2_K | 0.5 | smallest |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.Q3_K_S.gguf) | Q3_K_S | 0.6 | low VRAM |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.Q3_K_M.gguf) | Q3_K_M | 0.6 | balanced low size |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.Q3_K_L.gguf) | Q3_K_L | 0.6 | better than Q3_K_M |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.IQ4_XS.gguf) | IQ4_XS | 0.6 | imatrix, recommended at this size |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.Q4_K_S.gguf) | Q4_K_S | 0.7 | fast, recommended |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.Q4_K_M.gguf) | Q4_K_M | 0.7 | fast, recommended |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.Q5_K_S.gguf) | Q5_K_S | 0.8 | higher quality |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.Q5_K_M.gguf) | Q5_K_M | 0.9 | higher quality |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.Q6_K.gguf) | Q6_K | 1.0 | very good quality |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.Q8_0.gguf) | Q8_0 | 1.2 | fast, best quality |
+| [GGUF](https://huggingface.co/ncky/TimeCapsuleLLM-v2-llama-1.2B-GGUF/resolve/main/TimeCapsuleLLM-v2-llama-1.2B.f16.gguf) | f16 | 2.3 | 16 bpw, overkill |

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