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---
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library_name: transformers
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tags:
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- quantized
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- custom
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- nonlinear
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- mixed-precision
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- merged
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- MoK
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language:
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- ru
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- en
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metrics:
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- perplexity
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pipeline_tag: text-generation
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---
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# Vikras — Experimental Family of Language Models
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[EN below](#vikras--experimental-family-of-language-models-en)
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## Содержание
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- [Коротко о проекте](#коротко-о-проекте)
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- [Что это за репозиторий](#что-это-за-репозиторий)
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- [Текущий релиз: HCT/YeAM (1-3B)](#текущий-релиз-hctyeam-1-3b)
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- [HCT (архитектура) / YeAM (инвариант реализации)](#hct-архитектура--yeam-инвариант-реализации)
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---
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## Коротко о проекте
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**Vikra** — экспериментальное семейство языковых моделей, исследующее влияние:
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- геометрии представлений
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- квантования
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- гибридных мерджей
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на численную динамику трансформеров.
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Проект **Vikras** не ограничивается одной базой или одной архитектурой: это семейство моделей, объединённых идеей численной инвариантности эксперимента.
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- **Vikra_%** — имя конкретной модели
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- **Vikras** — семейство экспериментов
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- **S / M / L** — степень агрессивности и распределения битности
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- **MixP / FullP / HCT** — схемы и инварианты квантования/мерджей
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---
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## Что это за репозиторий
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Это витрина моделей **Vikras** в диапазоне **1–3B**.
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Здесь лежат только компактные релизы, которые можно относительно легко запускать локально.
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Сноска на основной репозиторий (лаборатория/склад):
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- https://huggingface.co/srs6901/Vikras-MixP
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В основном репозитории релизы и эксперименты появляются быстрее, там же полный каталог (включая более крупные модели).
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---
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## Текущий релиз: HCT/YeAM (1-3B)
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### Релизы
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- **Vikra-HCT-YeAM-LLaGemma-1B**
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- Что с чем: Llama-3.2-1B-Instruct + Gemma-3-1b-pt
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- HF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/tree/main/Vikra-HCT-YeAM-LLaGemma-1B
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- GGUF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/blob/main/Vikra-HCT-YeAM-LLaGemma-1B-Q8_0.gguf
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|
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- **Vikra-HCT-YeAM-PhiMma-1B**
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- Что с чем: Gemma-3-1b-pt + Microsoft Phi-2
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- HF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/tree/main/Vikra-HCT-YeAM-PhiMma-1B
|
||||
- GGUF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/blob/main/Vikra-HCT-YeAM-PhiMma-1B-Q8_0.gguf
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|
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- **Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B**
|
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- Что с чем: Llama-3.2-1B-Instruct + Qwen3-1.7B (HCT/YeAM-производный релиз)
|
||||
- HF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/tree/main/Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B
|
||||
- GGUF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/blob/main/Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B_Q8_K.gguf
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|
||||
---
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||||
|
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## HCT (архитектура) / YeAM (инвариант реализации)
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|
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**HCT** — архитектурный инвариант: практический способ собирать совместимые модели и производные релизы при переносе между базами/семействами.
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|
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**YeAM (Yet Another Merge)** — инвариант реализации HCT и самостоятельная схема мерджа HF→HF: это не «ещё один SLERP/DARE/TILES» и не косметическая вариация усреднения.
|
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YeAM выдаёт стандартный HF-результат (safetensors + index) и поддерживает:
|
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- прямой weight-to-weight мердж
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- направленное добавление знаний в выбранную модель (knowledge distillation / knowledge injection), согласованное по нескольким источникам
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||||
- дополнительный мердж Attention-слоёв как отдельную технику поверх YeAM
|
||||
- мердж меньших моделей в более крупные (scale-up merge) при сохранении совместимого HF-формата
|
||||
Математически YeAM работает в **реальной 4D-постановке**: обновления кодируются геометрически и согласуются через пересечения лучей в пространстве параметров. Это даёт управляемый мердж с сохранением структуры и без вырождения в наивное усреднение.
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|
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---
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# Vikras — Experimental Family of Language Models (EN)
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## Table of Contents
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|
||||
- [Project overview](#project-overview)
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||||
- [What this repository is](#what-this-repository-is)
|
||||
- [Current Release: HCT/YeAM (1-3B)](#current-release-hctyeam-1-3b)
|
||||
- [HCT (architecture) / YeAM (implementation invariant)](#hct-architecture--yeam-implementation-invariant)
|
||||
|
||||
---
|
||||
|
||||
## Project overview
|
||||
|
||||
**Vikra** is an experimental family of language models exploring how:
|
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|
||||
- representation geometry
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- quantization
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- hybrid merges
|
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|
||||
affect transformer numerical dynamics.
|
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|
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The **Vikras** project is not tied to a single base model or architecture.
|
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It is a family of models unified by a numerical invariance philosophy of experimentation.
|
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|
||||
- **Vikra_%** — a specific model
|
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- **Vikras** — the experimental family
|
||||
- **S / M / L** — aggressiveness and bit allocation variants
|
||||
- **MixP / FullP / HCT** — quantization / merge invariants
|
||||
|
||||
---
|
||||
|
||||
## What this repository is
|
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|
||||
This is a curated **1–3B** showcase for the **Vikras** family.
|
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Only compact releases are mirrored here.
|
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|
||||
Footnote / main repository (lab + full catalog):
|
||||
- https://huggingface.co/srs6901/Vikras-MixP
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|
||||
The main repository is updated faster and contains the complete set of experiments (including larger models).
|
||||
|
||||
---
|
||||
|
||||
## Current Release: HCT/YeAM (1-3B)
|
||||
|
||||
### Releases
|
||||
|
||||
- **Vikra-HCT-YeAM-LLaGemma-1B**
|
||||
- Merge recipe: Llama-3.2-1B-Instruct + Gemma-3-1b-pt
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||||
- HF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/tree/main/Vikra-HCT-YeAM-LLaGemma-1B
|
||||
- GGUF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/blob/main/Vikra-HCT-YeAM-LLaGemma-1B-Q8_0.gguf
|
||||
|
||||
- **Vikra-HCT-YeAM-PhiMma-1B**
|
||||
- Merge recipe: Gemma-3-1b-pt + Microsoft Phi-2
|
||||
- HF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/tree/main/Vikra-HCT-YeAM-PhiMma-1B
|
||||
- GGUF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/blob/main/Vikra-HCT-YeAM-PhiMma-1B-Q8_0.gguf
|
||||
|
||||
- **Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B**
|
||||
- Merge recipe: Llama-3.2-1B-Instruct + Qwen3-1.7B (HCT/YeAM-derived release)
|
||||
- HF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/tree/main/Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B
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||||
- GGUF: https://huggingface.co/srs6901/Vikras-1-to-3b-collection/blob/main/Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B_Q8_K.gguf
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||||
|
||||
---
|
||||
|
||||
## HCT (architecture) / YeAM (implementation invariant)
|
||||
|
||||
**HCT** is an architectural invariant — a practical way to assemble compatible checkpoints and derived releases while moving across bases / model families.
|
||||
**YeAM (Yet Another Merge)** is an implementation invariant of HCT and a standalone HF→HF merge scheme: it is not “just another SLERP/DARE/TILES” and not a cosmetic variant of averaging.
|
||||
|
||||
YeAM produces a standard HF output (safetensors + index) and supports:
|
||||
- direct weight-to-weight merging
|
||||
- targeted knowledge injection into a chosen model (knowledge distillation mode), aligned across multiple sources
|
||||
- an additional Attention-layer merge as a second technique on top of YeAM
|
||||
- merging smaller models into larger ones (scale-up merge) while keeping a compatible HF format
|
||||
YeAM operates in a **real 4D formulation**: updates are encoded geometrically and aligned via ray intersections in parameter space. This produces controlled merges that preserve structure instead of collapsing into naive averaging.
|
||||
|
||||
---
|
||||
202
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/LICENSE
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69
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/README.md
Normal file
69
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/README.md
Normal file
@@ -0,0 +1,69 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
library_name: transformers
|
||||
pipeline_tag: text-generation
|
||||
base_model: Qwen/Qwen3-1.7B-Base
|
||||
---
|
||||
|
||||
# Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B
|
||||
|
||||
HCT architecture release. YeAM (Yet Another Merge) implementation invariant.
|
||||
|
||||
## What it is
|
||||
|
||||
A compact 1.7B-class checkpoint produced via HCT-compatible merging.
|
||||
The checkpoint is published in standard Hugging Face format (safetensors + index).
|
||||
|
||||
## YeAM summary
|
||||
|
||||
YeAM performs a controlled merge in a real 4D geometric formulation with ray-intersection alignment in parameter space.
|
||||
It also supports targeted knowledge injection (distillation-style) into a chosen model while remaining HF-compatible.
|
||||
|
||||
## Notes for this checkpoint
|
||||
|
||||
Compared to other YeAM/HCT merges, this checkpoint additionally applies a targeted merge on Attention projection weights.
|
||||
|
||||
Observed behavior tends to include characteristic Llama-like traits:
|
||||
- More Llama-style conversation patterns.
|
||||
- More consistent formatting.
|
||||
- Stronger RLHF-like refusal/priority behaviors.
|
||||
- Reasoning / chain-of-thought style output in the model's full native format is expected to work.
|
||||
|
||||
At the same time, most Qwen3 behavior should theoretically remain, but due to knowledge/logic injection from the Llama side, some Qwen-specific properties may be partially degraded or inconsistent.
|
||||
|
||||
Repetition / looping:
|
||||
- There is no universally perfect sampling configuration.
|
||||
- At higher temperature, without a repetition-style penalty, the model may enter repetition loops.
|
||||
- Pay special attention to repetition-related controls (e.g. repetition penalty / presence penalty) if you observe cycling.
|
||||
|
||||
Do not ask the model who created it.
|
||||
In this specific merge, it may oscillate between incompatible parents (Alibaba vs Meta”), fail to settle, and get stuck in a sad loop.
|
||||
|
||||
## Usage (Transformers)
|
||||
|
||||
```python
|
||||
from transformers import AutoTokenizer, AutoModelForCausalLM
|
||||
import torch
|
||||
|
||||
m = "/path/to/Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B"
|
||||
|
||||
tok = AutoTokenizer.from_pretrained(m, use_fast=True)
|
||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
m,
|
||||
torch_dtype=torch.bfloat16,
|
||||
device_map="cuda",
|
||||
).eval()
|
||||
|
||||
inputs = tok("Hello!", return_tensors="pt").to(model.device)
|
||||
out = model.generate(**inputs, max_new_tokens=128)
|
||||
print(tok.decode(out[0], skip_special_tokens=True))
|
||||
```
|
||||
|
||||
## GGUF
|
||||
|
||||
Convert and quantize with llama.cpp (example):
|
||||
|
||||
```bash
|
||||
python3 /path/to/llama.cpp/convert_hf_to_gguf.py /path/to/model --outtype f16 --outfile model.f16.gguf
|
||||
/path/to/llama.cpp/build/bin/llama-quantize model.f16.gguf model.Q8_0.gguf Q8_0
|
||||
```
|
||||
30
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/config.json
Normal file
30
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/config.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
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|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2048,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 6144,
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 16,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.51.0",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
13
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/generation_config.json
Normal file
13
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
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|
||||
"do_sample": true,
|
||||
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|
||||
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|
||||
151643
|
||||
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|
||||
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|
||||
"temperature": 0.6,
|
||||
"top_k": 20,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.51.0"
|
||||
}
|
||||
151388
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/merges.txt
Normal file
151388
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
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|
||||
version https://git-lfs.github.com/spec/v1
|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
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BIN
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/tokenizer.json
(Stored with Git LFS)
Normal file
BIN
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
239
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/tokenizer_config.json
Normal file
239
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/tokenizer_config.json
Normal file
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|
||||
{
|
||||
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|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/vocab.json
Normal file
1
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B/vocab.json
Normal file
File diff suppressed because one or more lines are too long
3
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B_Q8_K.gguf
Normal file
3
Vikra-HCT-YeAM-3_3.2_QweLLa-1.7B_Q8_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e5c3eab905f68c6f9001d3af2c17c538a1583e6804106d048e0a2b0ca881cd7c
|
||||
size 2165039488
|
||||
3
Vikra-HCT-YeAM-LLaGemma-1B-Q8_0.gguf
Normal file
3
Vikra-HCT-YeAM-LLaGemma-1B-Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:106774be0e59d7939904784f171932c95b759fdbe979948a6df143c966903ea3
|
||||
size 1069306496
|
||||
50
Vikra-HCT-YeAM-LLaGemma-1B/README.md
Normal file
50
Vikra-HCT-YeAM-LLaGemma-1B/README.md
Normal file
@@ -0,0 +1,50 @@
|
||||
---
|
||||
license: gemma
|
||||
library_name: transformers
|
||||
pipeline_tag: text-generation
|
||||
base_model: google/gemma-3-1b-pt
|
||||
---
|
||||
|
||||
# Vikra-HCT-YeAM-LLaGemma-1B
|
||||
Llama-3.2-1B-Instruct + Gemma-3-1b-pt
|
||||
|
||||
HCT architecture release. YeAM (Yet Another Merge) implementation invariant.
|
||||
|
||||
## What it is
|
||||
|
||||
A compact 1B-class model produced via HCT-compatible merging.
|
||||
The checkpoint is published in standard Hugging Face format (safetensors + index).
|
||||
|
||||
## YeAM summary
|
||||
|
||||
YeAM performs a controlled merge in a real 4D geometric formulation with ray-intersection alignment in parameter space.
|
||||
It also supports targeted knowledge injection (distillation-style) into a chosen model while remaining HF-compatible.
|
||||
|
||||
## Usage (Transformers)
|
||||
|
||||
```python
|
||||
from transformers import AutoTokenizer, AutoModelForCausalLM
|
||||
import torch
|
||||
|
||||
m = "/path/to/Vikra-HCT-YeAM-LLaGemma-1B"
|
||||
|
||||
tok = AutoTokenizer.from_pretrained(m, use_fast=False)
|
||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
m,
|
||||
torch_dtype=torch.bfloat16,
|
||||
device_map="cuda",
|
||||
).eval()
|
||||
|
||||
inputs = tok("Hello!", return_tensors="pt").to(model.device)
|
||||
out = model.generate(**inputs, max_new_tokens=128)
|
||||
print(tok.decode(out[0], skip_special_tokens=True))
|
||||
```
|
||||
|
||||
## GGUF
|
||||
|
||||
Convert and quantize with llama.cpp (example):
|
||||
|
||||
```bash
|
||||
python3 /path/to/llama.cpp/convert_hf_to_gguf.py /path/to/model --outtype bf16 --outfile model.bf16.gguf
|
||||
/path/to/llama.cpp/build/bin/llama-quantize model.bf16.gguf model.Q6_K.gguf Q6_K
|
||||
```
|
||||
3
Vikra-HCT-YeAM-LLaGemma-1B/added_tokens.json
Normal file
3
Vikra-HCT-YeAM-LLaGemma-1B/added_tokens.json
Normal file
@@ -0,0 +1,3 @@
|
||||
{
|
||||
"<image_soft_token>": 262144
|
||||
}
|
||||
37
Vikra-HCT-YeAM-LLaGemma-1B/config.json
Normal file
37
Vikra-HCT-YeAM-LLaGemma-1B/config.json
Normal file
@@ -0,0 +1,37 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Gemma3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"attn_logit_softcapping": null,
|
||||
"bos_token_id": 2,
|
||||
"cache_implementation": "hybrid",
|
||||
"eos_token_id": [
|
||||
1,
|
||||
106
|
||||
],
|
||||
"final_logit_softcapping": null,
|
||||
"head_dim": 256,
|
||||
"hidden_activation": "gelu_pytorch_tanh",
|
||||
"hidden_size": 1152,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 6912,
|
||||
"max_position_embeddings": 32768,
|
||||
"model_type": "gemma3_text",
|
||||
"num_attention_heads": 4,
|
||||
"num_hidden_layers": 26,
|
||||
"num_key_value_heads": 1,
|
||||
"pad_token_id": 0,
|
||||
"query_pre_attn_scalar": 256,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_local_base_freq": 10000,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": 512,
|
||||
"sliding_window_pattern": 6,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.50.0.dev0",
|
||||
"use_cache": true,
|
||||
"vocab_size": 262144
|
||||
}
|
||||
13
Vikra-HCT-YeAM-LLaGemma-1B/generation_config.json
Normal file
13
Vikra-HCT-YeAM-LLaGemma-1B/generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"bos_token_id": 2,
|
||||
"cache_implementation": "hybrid",
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
1,
|
||||
106
|
||||
],
|
||||
"pad_token_id": 0,
|
||||
"top_k": 64,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.50.0.dev0"
|
||||
}
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0d327513594d6e96139c1660d5389b20cc9de3797796b69ca9cb8d21ad420c31
|
||||
size 1081244120
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ff4980829a32e0feccf675d107ffc2ebc495139577c3ce7460ffc3a0fe8ff76f
|
||||
size 918566568
|
||||
1
Vikra-HCT-YeAM-LLaGemma-1B/model.safetensors.index.json
Normal file
1
Vikra-HCT-YeAM-LLaGemma-1B/model.safetensors.index.json
Normal file
File diff suppressed because one or more lines are too long
33
Vikra-HCT-YeAM-LLaGemma-1B/special_tokens_map.json
Normal file
33
Vikra-HCT-YeAM-LLaGemma-1B/special_tokens_map.json
Normal file
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"boi_token": "<start_of_image>",
|
||||
"bos_token": {
|
||||
"content": "<bos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eoi_token": "<end_of_image>",
|
||||
"eos_token": {
|
||||
"content": "<eos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"image_token": "<image_soft_token>",
|
||||
"pad_token": {
|
||||
"content": "<pad>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
Vikra-HCT-YeAM-LLaGemma-1B/tokenizer.json
Normal file
3
Vikra-HCT-YeAM-LLaGemma-1B/tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
|
||||
size 33384568
|
||||
3
Vikra-HCT-YeAM-LLaGemma-1B/tokenizer.model
Normal file
3
Vikra-HCT-YeAM-LLaGemma-1B/tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
|
||||
size 4689074
|
||||
51346
Vikra-HCT-YeAM-LLaGemma-1B/tokenizer_config.json
Normal file
51346
Vikra-HCT-YeAM-LLaGemma-1B/tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
Vikra-HCT-YeAM-PhiMma-1B-Q8_0.gguf
Normal file
3
Vikra-HCT-YeAM-PhiMma-1B-Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2cc9a6638b222213cc705401efb8d4ae2aac38bb0c25f4c3315d64be3d6587aa
|
||||
size 1069306496
|
||||
49
Vikra-HCT-YeAM-PhiMma-1B/README.md
Normal file
49
Vikra-HCT-YeAM-PhiMma-1B/README.md
Normal file
@@ -0,0 +1,49 @@
|
||||
---
|
||||
license: gemma
|
||||
library_name: transformers
|
||||
pipeline_tag: text-generation
|
||||
base_model: google/gemma-3-1b-pt
|
||||
---
|
||||
|
||||
# Vikra-HCT-YeAM-PhiMma-1B
|
||||
Gemma-3-1b-pt + Microsoft_phi-2
|
||||
HCT architecture release. YeAM (Yet Another Merge) implementation invariant.
|
||||
|
||||
## What it is
|
||||
|
||||
A compact 1B-class model produced via HCT-compatible merging.
|
||||
The checkpoint is published in standard Hugging Face format (safetensors + index).
|
||||
|
||||
## YeAM summary
|
||||
|
||||
YeAM performs a controlled merge in a real 4D geometric formulation with ray-intersection alignment in parameter space.
|
||||
It also supports targeted knowledge injection (distillation-style) into a chosen model while remaining HF-compatible.
|
||||
|
||||
## Usage (Transformers)
|
||||
|
||||
```python
|
||||
from transformers import AutoTokenizer, AutoModelForCausalLM
|
||||
import torch
|
||||
|
||||
m = "/path/to/Vikra-HCT-YeAM-PhiMma-1B"
|
||||
|
||||
tok = AutoTokenizer.from_pretrained(m, use_fast=False)
|
||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
m,
|
||||
torch_dtype=torch.bfloat16,
|
||||
device_map="cuda",
|
||||
).eval()
|
||||
|
||||
inputs = tok("Hello!", return_tensors="pt").to(model.device)
|
||||
out = model.generate(**inputs, max_new_tokens=128)
|
||||
print(tok.decode(out[0], skip_special_tokens=True))
|
||||
```
|
||||
|
||||
## GGUF
|
||||
|
||||
Convert and quantize with llama.cpp (example):
|
||||
|
||||
```bash
|
||||
python3 /path/to/llama.cpp/convert_hf_to_gguf.py /path/to/model --outtype bf16 --outfile model.bf16.gguf
|
||||
/path/to/llama.cpp/build/bin/llama-quantize model.bf16.gguf model.Q6_K.gguf Q6_K
|
||||
```
|
||||
3
Vikra-HCT-YeAM-PhiMma-1B/added_tokens.json
Normal file
3
Vikra-HCT-YeAM-PhiMma-1B/added_tokens.json
Normal file
@@ -0,0 +1,3 @@
|
||||
{
|
||||
"<image_soft_token>": 262144
|
||||
}
|
||||
37
Vikra-HCT-YeAM-PhiMma-1B/config.json
Normal file
37
Vikra-HCT-YeAM-PhiMma-1B/config.json
Normal file
@@ -0,0 +1,37 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Gemma3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"attn_logit_softcapping": null,
|
||||
"bos_token_id": 2,
|
||||
"cache_implementation": "hybrid",
|
||||
"eos_token_id": [
|
||||
1,
|
||||
106
|
||||
],
|
||||
"final_logit_softcapping": null,
|
||||
"head_dim": 256,
|
||||
"hidden_activation": "gelu_pytorch_tanh",
|
||||
"hidden_size": 1152,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 6912,
|
||||
"max_position_embeddings": 32768,
|
||||
"model_type": "gemma3_text",
|
||||
"num_attention_heads": 4,
|
||||
"num_hidden_layers": 26,
|
||||
"num_key_value_heads": 1,
|
||||
"pad_token_id": 0,
|
||||
"query_pre_attn_scalar": 256,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_local_base_freq": 10000,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": 512,
|
||||
"sliding_window_pattern": 6,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.50.0.dev0",
|
||||
"use_cache": true,
|
||||
"vocab_size": 262144
|
||||
}
|
||||
13
Vikra-HCT-YeAM-PhiMma-1B/generation_config.json
Normal file
13
Vikra-HCT-YeAM-PhiMma-1B/generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"bos_token_id": 2,
|
||||
"cache_implementation": "hybrid",
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
1,
|
||||
106
|
||||
],
|
||||
"pad_token_id": 0,
|
||||
"top_k": 64,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "4.50.0.dev0"
|
||||
}
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:cd10088d6f4ea7bd681d61f3ae77b02e6202587e0817b5d91dad2e949bf248b7
|
||||
size 1081244120
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:15d8aa3dfd280419d37ea5b3e79ea12aabf419cf96cbc11b17c8f4c9bb5a4aaa
|
||||
size 918566568
|
||||
1
Vikra-HCT-YeAM-PhiMma-1B/model.safetensors.index.json
Normal file
1
Vikra-HCT-YeAM-PhiMma-1B/model.safetensors.index.json
Normal file
File diff suppressed because one or more lines are too long
33
Vikra-HCT-YeAM-PhiMma-1B/special_tokens_map.json
Normal file
33
Vikra-HCT-YeAM-PhiMma-1B/special_tokens_map.json
Normal file
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"boi_token": "<start_of_image>",
|
||||
"bos_token": {
|
||||
"content": "<bos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eoi_token": "<end_of_image>",
|
||||
"eos_token": {
|
||||
"content": "<eos>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"image_token": "<image_soft_token>",
|
||||
"pad_token": {
|
||||
"content": "<pad>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
Vikra-HCT-YeAM-PhiMma-1B/tokenizer.json
Normal file
3
Vikra-HCT-YeAM-PhiMma-1B/tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
|
||||
size 33384568
|
||||
3
Vikra-HCT-YeAM-PhiMma-1B/tokenizer.model
Normal file
3
Vikra-HCT-YeAM-PhiMma-1B/tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
|
||||
size 4689074
|
||||
51346
Vikra-HCT-YeAM-PhiMma-1B/tokenizer_config.json
Normal file
51346
Vikra-HCT-YeAM-PhiMma-1B/tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
YeAM_Llama32-1B_Instruct_X2_DENOISED-Q8_0.gguf
Normal file
3
YeAM_Llama32-1B_Instruct_X2_DENOISED-Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7bca3eda347602d7d3278ec58c2d569e189bfe4a453b0831f15ad3eba8747fb6
|
||||
size 1321082656
|
||||
93
YeAM_Llama32-1B_Instruct_X2_DENOISED/chat_template.jinja
Normal file
93
YeAM_Llama32-1B_Instruct_X2_DENOISED/chat_template.jinja
Normal file
@@ -0,0 +1,93 @@
|
||||
{{- bos_token }}
|
||||
{%- if custom_tools is defined %}
|
||||
{%- set tools = custom_tools %}
|
||||
{%- endif %}
|
||||
{%- if not tools_in_user_message is defined %}
|
||||
{%- set tools_in_user_message = true %}
|
||||
{%- endif %}
|
||||
{%- if not date_string is defined %}
|
||||
{%- if strftime_now is defined %}
|
||||
{%- set date_string = strftime_now("%d %b %Y") %}
|
||||
{%- else %}
|
||||
{%- set date_string = "26 Jul 2024" %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if not tools is defined %}
|
||||
{%- set tools = none %}
|
||||
{%- endif %}
|
||||
|
||||
{#- This block extracts the system message, so we can slot it into the right place. #}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{%- set system_message = messages[0]['content']|trim %}
|
||||
{%- set messages = messages[1:] %}
|
||||
{%- else %}
|
||||
{%- set system_message = "" %}
|
||||
{%- endif %}
|
||||
|
||||
{#- System message #}
|
||||
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
||||
{%- if tools is not none %}
|
||||
{{- "Environment: ipython\n" }}
|
||||
{%- endif %}
|
||||
{{- "Cutting Knowledge Date: December 2023\n" }}
|
||||
{{- "Today Date: " + date_string + "\n\n" }}
|
||||
{%- if tools is not none and not tools_in_user_message %}
|
||||
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
||||
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||
{{- "Do not use variables.\n\n" }}
|
||||
{%- for t in tools %}
|
||||
{{- t | tojson(indent=4) }}
|
||||
{{- "\n\n" }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- system_message }}
|
||||
{{- "<|eot_id|>" }}
|
||||
|
||||
{#- Custom tools are passed in a user message with some extra guidance #}
|
||||
{%- if tools_in_user_message and not tools is none %}
|
||||
{#- Extract the first user message so we can plug it in here #}
|
||||
{%- if messages | length != 0 %}
|
||||
{%- set first_user_message = messages[0]['content']|trim %}
|
||||
{%- set messages = messages[1:] %}
|
||||
{%- else %}
|
||||
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
||||
{%- endif %}
|
||||
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
||||
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
||||
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
||||
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||
{{- "Do not use variables.\n\n" }}
|
||||
{%- for t in tools %}
|
||||
{{- t | tojson(indent=4) }}
|
||||
{{- "\n\n" }}
|
||||
{%- endfor %}
|
||||
{{- first_user_message + "<|eot_id|>"}}
|
||||
{%- endif %}
|
||||
|
||||
{%- for message in messages %}
|
||||
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
||||
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
|
||||
{%- elif 'tool_calls' in message %}
|
||||
{%- if not message.tool_calls|length == 1 %}
|
||||
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
||||
{%- endif %}
|
||||
{%- set tool_call = message.tool_calls[0].function %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
||||
{{- '{"name": "' + tool_call.name + '", ' }}
|
||||
{{- '"parameters": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- "}" }}
|
||||
{{- "<|eot_id|>" }}
|
||||
{%- elif message.role == "tool" or message.role == "ipython" %}
|
||||
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
||||
{%- if message.content is mapping or message.content is iterable %}
|
||||
{{- message.content | tojson }}
|
||||
{%- else %}
|
||||
{{- message.content }}
|
||||
{%- endif %}
|
||||
{{- "<|eot_id|>" }}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
||||
{%- endif %}
|
||||
37
YeAM_Llama32-1B_Instruct_X2_DENOISED/config.json
Normal file
37
YeAM_Llama32-1B_Instruct_X2_DENOISED/config.json
Normal file
@@ -0,0 +1,37 @@
|
||||
{
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 128000,
|
||||
"eos_token_id": 128009,
|
||||
"head_dim": 64,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2048,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 8192,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 16,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 128004,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": {
|
||||
"factor": 32.0,
|
||||
"high_freq_factor": 4.0,
|
||||
"low_freq_factor": 1.0,
|
||||
"original_max_position_embeddings": 8192,
|
||||
"rope_type": "llama3"
|
||||
},
|
||||
"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": true,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.52.0.dev0",
|
||||
"unsloth_fixed": true,
|
||||
"use_cache": true,
|
||||
"vocab_size": 128256
|
||||
}
|
||||
14
YeAM_Llama32-1B_Instruct_X2_DENOISED/generation_config.json
Normal file
14
YeAM_Llama32-1B_Instruct_X2_DENOISED/generation_config.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"bos_token_id": 128000,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
128001,
|
||||
128008,
|
||||
128009
|
||||
],
|
||||
"max_length": 131072,
|
||||
"pad_token_id": 128004,
|
||||
"temperature": 0.6,
|
||||
"top_p": 0.9,
|
||||
"transformers_version": "4.52.0.dev0"
|
||||
}
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3b11bb530609f86f963b3ab84714bdc615577b35f639c92f2342749f8ac3a3d1
|
||||
size 1079026152
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:cd45477e250d89441c6804c035e1e002893f769a2918c2a44901b349d7e141c4
|
||||
size 1094796312
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:94e27e42ad3005b9208bebf45ecfe522a20e615e7bb6a34f512457de3ab16c38
|
||||
size 297822992
|
||||
File diff suppressed because one or more lines are too long
23
YeAM_Llama32-1B_Instruct_X2_DENOISED/special_tokens_map.json
Normal file
23
YeAM_Llama32-1B_Instruct_X2_DENOISED/special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|finetune_right_pad_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
YeAM_Llama32-1B_Instruct_X2_DENOISED/tokenizer.json
(Stored with Git LFS)
Normal file
BIN
YeAM_Llama32-1B_Instruct_X2_DENOISED/tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2067
YeAM_Llama32-1B_Instruct_X2_DENOISED/tokenizer_config.json
Normal file
2067
YeAM_Llama32-1B_Instruct_X2_DENOISED/tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user