commit 32039e11f3eb3ec19c9ca4c03a74598bbed6d773 Author: ModelHub XC Date: Mon Jul 13 02:50:10 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: ddh0/Meta-Llama-3-8B-Instruct-bf16-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..abc95ab --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt 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 +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz 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 -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +Meta-Llama-3-8B-Instruct-bf16.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/Meta-Llama-3-8B-Instruct-bf16.gguf b/Meta-Llama-3-8B-Instruct-bf16.gguf new file mode 100644 index 0000000..bd1dcf2 --- /dev/null +++ b/Meta-Llama-3-8B-Instruct-bf16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d0830c88d8f3f3947531be06e92e676b0dbc12395181592d59522df7d1438c38 +size 16068890912 diff --git a/README.md b/README.md new file mode 100644 index 0000000..cc1972f --- /dev/null +++ b/README.md @@ -0,0 +1,89 @@ +--- +license: llama3 +pipeline_tag: text-generation +--- + +# Meta-Llama-3-8B-Instruct-bf16-GGUF + +This is [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct), converted to GGUF without changing tensor data type. Moreover, the new correct pre-tokenizer `llama-bpe` is used ([ref](https://github.com/ggerganov/llama.cpp/pull/6745#issuecomment-2094991999)), and the EOS token is correctly set to `<|eot_id|>` ([ref](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/commit/a8977699a3d0820e80129fb3c93c20fbd9972c41)). + +The `llama.cpp` output for this model is shown below for reference. + +``` +Log start +main: build = 2842 (18e43766) +main: built with cc (Debian 12.2.0-14) 12.2.0 for x86_64-linux-gnu +main: seed = 1715355914 +llama_model_loader: loaded meta data with 22 key-value pairs and 291 tensors from /media/dylan/SanDisk/LLMs/Meta-Llama-3-8B-Instruct-bf16.gguf (version GGUF V3 (latest)) +llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. +llama_model_loader: - kv 0: general.architecture str = llama +llama_model_loader: - kv 1: general.name str = Meta-Llama-3-8B-Instruct +llama_model_loader: - kv 2: llama.block_count u32 = 32 +llama_model_loader: - kv 3: llama.context_length u32 = 8192 +llama_model_loader: - kv 4: llama.embedding_length u32 = 4096 +llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336 +llama_model_loader: - kv 6: llama.attention.head_count u32 = 32 +llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8 +llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000 +llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010 +llama_model_loader: - kv 10: general.file_type u32 = 32 +llama_model_loader: - kv 11: llama.vocab_size u32 = 128256 +llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128 +llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2 +llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe +llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128256] = ["!", "\"", "#", "$", "%", "&", "'", ... +llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... +llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "... +llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000 +llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128009 +llama_model_loader: - kv 20: tokenizer.chat_template str = {% set loop_messages = messages %}{% ... +llama_model_loader: - kv 21: general.quantization_version u32 = 2 +llama_model_loader: - type f32: 65 tensors +llama_model_loader: - type bf16: 226 tensors +llm_load_vocab: special tokens definition check successful ( 256/128256 ). +llm_load_print_meta: format = GGUF V3 (latest) +llm_load_print_meta: arch = llama +llm_load_print_meta: vocab type = BPE +llm_load_print_meta: n_vocab = 128256 +llm_load_print_meta: n_merges = 280147 +llm_load_print_meta: n_ctx_train = 8192 +llm_load_print_meta: n_embd = 4096 +llm_load_print_meta: n_head = 32 +llm_load_print_meta: n_head_kv = 8 +llm_load_print_meta: n_layer = 32 +llm_load_print_meta: n_rot = 128 +llm_load_print_meta: n_embd_head_k = 128 +llm_load_print_meta: n_embd_head_v = 128 +llm_load_print_meta: n_gqa = 4 +llm_load_print_meta: n_embd_k_gqa = 1024 +llm_load_print_meta: n_embd_v_gqa = 1024 +llm_load_print_meta: f_norm_eps = 0.0e+00 +llm_load_print_meta: f_norm_rms_eps = 1.0e-05 +llm_load_print_meta: f_clamp_kqv = 0.0e+00 +llm_load_print_meta: f_max_alibi_bias = 0.0e+00 +llm_load_print_meta: f_logit_scale = 0.0e+00 +llm_load_print_meta: n_ff = 14336 +llm_load_print_meta: n_expert = 0 +llm_load_print_meta: n_expert_used = 0 +llm_load_print_meta: causal attn = 1 +llm_load_print_meta: pooling type = 0 +llm_load_print_meta: rope type = 0 +llm_load_print_meta: rope scaling = linear +llm_load_print_meta: freq_base_train = 500000.0 +llm_load_print_meta: freq_scale_train = 1 +llm_load_print_meta: n_yarn_orig_ctx = 8192 +llm_load_print_meta: rope_finetuned = unknown +llm_load_print_meta: ssm_d_conv = 0 +llm_load_print_meta: ssm_d_inner = 0 +llm_load_print_meta: ssm_d_state = 0 +llm_load_print_meta: ssm_dt_rank = 0 +llm_load_print_meta: model type = 8B +llm_load_print_meta: model ftype = BF16 +llm_load_print_meta: model params = 8.03 B +llm_load_print_meta: model size = 14.96 GiB (16.00 BPW) +llm_load_print_meta: general.name = Meta-Llama-3-8B-Instruct +llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>' +llm_load_print_meta: EOS token = 128009 '<|eot_id|>' +llm_load_print_meta: LF token = 128 'Ä' +llm_load_print_meta: EOT token = 128009 '<|eot_id|>' +```